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corpus</title> <meta name="description" content="Search results for: parallel corpus"> <meta name="keywords" content="parallel corpus"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="parallel corpus"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1548</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: parallel corpus</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1548</span> The Automatisation of Dictionary-Based Annotation in a Parallel Corpus of Old English</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ana%20Elvira%20Ojanguren%20Lopez">Ana Elvira Ojanguren Lopez</a>, <a href="https://publications.waset.org/abstracts/search?q=Javier%20Martin%20Arista"> Javier Martin Arista</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aims of this paper are to present the automatisation procedure adopted in the implementation of a parallel corpus of Old English, as well as, to assess the progress of automatisation with respect to tagging, annotation, and lemmatisation. The corpus consists of an aligned parallel text with word-for-word comparison Old English-English that provides the Old English segment with inflectional form tagging (gloss, lemma, category, and inflection) and lemma annotation (spelling, meaning, inflectional class, paradigm, word-formation and secondary sources). This parallel corpus is intended to fill a gap in the field of Old English, in which no parallel and/or lemmatised corpora are available, while the average amount of corpus annotation is low. With this background, this presentation has two main parts. The first part, which focuses on tagging and annotation, selects the layouts and fields of lexical databases that are relevant for these tasks. Most information used for the annotation of the corpus can be retrieved from the lexical and morphological database Nerthus and the database of secondary sources Freya. These are the sources of linguistic and metalinguistic information that will be used for the annotation of the lemmas of the corpus, including morphological and semantic aspects as well as the references to the secondary sources that deal with the lemmas in question. Although substantially adapted and re-interpreted, the lemmatised part of these databases draws on the standard dictionaries of Old English, including The Student's Dictionary of Anglo-Saxon, An Anglo-Saxon Dictionary, and A Concise Anglo-Saxon Dictionary. The second part of this paper deals with lemmatisation. It presents the lemmatiser Norna, which has been implemented on Filemaker software. It is based on a concordance and an index to the Dictionary of Old English Corpus, which comprises around three thousand texts and three million words. In its present state, the lemmatiser Norna can assign lemma to around 80% of textual forms on an automatic basis, by searching the index and the concordance for prefixes, stems and inflectional endings. The conclusions of this presentation insist on the limits of the automatisation of dictionary-based annotation in a parallel corpus. While the tagging and annotation are largely automatic even at the present stage, the automatisation of alignment is pending for future research. Lemmatisation and morphological tagging are expected to be fully automatic in the near future, once the database of secondary sources Freya and the lemmatiser Norna have been completed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title="corpus linguistics">corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=historical%20linguistics" title=" historical linguistics"> historical linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=old%20English" title=" old English"> old English</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20corpus" title=" parallel corpus"> parallel corpus</a> </p> <a href="https://publications.waset.org/abstracts/88538/the-automatisation-of-dictionary-based-annotation-in-a-parallel-corpus-of-old-english" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">212</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1547</span> Compilation and Statistical Analysis of an Arabic-English Legal Corpus in Sketch Engine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Brierley">C. Brierley</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20El-Farahaty"> H. El-Farahaty</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Farhan"> A. Farhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Leeds Parallel Corpus of Arabic-English Constitutions is a parallel corpus for the Arabic legal domain. Analysis of legal language via Corpus Linguistics techniques is an important development. In legal proceedings, a corpus-based approach to disambiguating meaning is set to replace the dictionary as an interpretative tool, and legal scholarship in the States is now attuned to the potential for Text Analytics over vast quantities of text-based legal material, following the business and medical industries. This trend is reflected in Europe: the interdisciplinary research group in Computer Assisted Legal Linguistics mines big data collections of legal and non-legal texts to analyse: legal interpretations; legal discourse; the comprehensibility of legal texts; conflict resolution; and linguistic human rights. This paper focuses on ‘dignity’ as an important aspect of the overarching concept of human rights in current constitutions across the Arab world. We have compiled a parallel, Arabic-English raw text corpus (169,861 Arabic words and 205,893 English words) from reputable websites such as the World Intellectual Property Organisation and CONSTITUTE, and uploaded and queried our corpus in Sketch Engine. Our most challenging task was sentence-level alignment of Arabic-English data. This entailed manual intervention to ensure correspondence on a one-to-many basis since Arabic sentences differ from English in length and punctuation. We have searched for morphological variants of ‘dignity’ (رامة ك, karāma) in the Arabic data and inspected their English translation equivalents. The term occurs most frequently in the Sudanese constitution (10 instances), and not at all in the constitution of Palestine. Its most frequent collocate, determined via the logDice statistic in Sketch Engine, is ‘human’ as in ‘human dignity’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabic%20constitution" title="Arabic constitution">Arabic constitution</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus-based%20legal%20linguistics" title=" corpus-based legal linguistics"> corpus-based legal linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20rights" title=" human rights"> human rights</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20Arabic-English%20legal%20corpora" title=" parallel Arabic-English legal corpora"> parallel Arabic-English legal corpora</a> </p> <a href="https://publications.waset.org/abstracts/83004/compilation-and-statistical-analysis-of-an-arabic-english-legal-corpus-in-sketch-engine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83004.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1546</span> A Corpus-Based Study on the Styles of Three Translators</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wang%20Yunhong">Wang Yunhong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present paper is preoccupied with the different styles of three translators in their translating a Chinese classical novel Shuihu Zhuan. Based on a parallel corpus, it adopts a target-oriented approach to look into whether and what stylistic differences and shifts the three translations have revealed. The findings show that the three translators demonstrate different styles concerning their word choices and sentence preferences, which implies that identification of recurrent textual patterns may be a basic step for investigating the style of a translator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus" title="corpus">corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=lexical%20choices" title=" lexical choices"> lexical choices</a>, <a href="https://publications.waset.org/abstracts/search?q=sentence%20characteristics" title=" sentence characteristics"> sentence characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=style" title=" style"> style</a> </p> <a href="https://publications.waset.org/abstracts/73431/a-corpus-based-study-on-the-styles-of-three-translators" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73431.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">268</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1545</span> Direct Translation vs. Pivot Language Translation for Persian-Spanish Low-Resourced Statistical Machine Translation System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benyamin%20Ahmadnia">Benyamin Ahmadnia</a>, <a href="https://publications.waset.org/abstracts/search?q=Javier%20Serrano"> Javier Serrano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we compare two different approaches for translating from Persian to Spanish, as a language pair with scarce parallel corpus. The first approach involves direct transfer using an statistical machine translation system, which is available for this language pair. The second approach involves translation through English, as a pivot language, which has more translation resources and more advanced translation systems available. The results show that, it is possible to achieve better translation quality using English as a pivot language in either approach outperforms direct translation from Persian to Spanish. Our best result is the pivot system which scores higher than direct translation by (1.12) BLEU points. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=statistical%20machine%20translation" title="statistical machine translation">statistical machine translation</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20translation%20approach" title=" direct translation approach"> direct translation approach</a>, <a href="https://publications.waset.org/abstracts/search?q=pivot%20language%20translation%20approach" title=" pivot language translation approach"> pivot language translation approach</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20corpus" title=" parallel corpus"> parallel corpus</a> </p> <a href="https://publications.waset.org/abstracts/40784/direct-translation-vs-pivot-language-translation-for-persian-spanish-low-resourced-statistical-machine-translation-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40784.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">487</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1544</span> A Preliminary Study for Building an Arabic Corpus of Pair Questions-Texts from the Web: Aqa-Webcorp</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wided%20Bakari">Wided Bakari</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrce%20Bellot"> Patrce Bellot</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Neji"> Mahmoud Neji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the development of electronic media and the heterogeneity of Arabic data on the Web, the idea of building a clean corpus for certain applications of natural language processing, including machine translation, information retrieval, question answer, become more and more pressing. In this manuscript, we seek to create and develop our own corpus of pair’s questions-texts. This constitution then will provide a better base for our experimentation step. Thus, we try to model this constitution by a method for Arabic insofar as it recovers texts from the web that could prove to be answers to our factual questions. To do this, we had to develop a java script that can extract from a given query a list of html pages. Then clean these pages to the extent of having a database of texts and a corpus of pair’s question-texts. In addition, we give preliminary results of our proposal method. Some investigations for the construction of Arabic corpus are also presented in this document. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabic" title="Arabic">Arabic</a>, <a href="https://publications.waset.org/abstracts/search?q=web" title=" web"> web</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus" title=" corpus"> corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=search%20engine" title=" search engine"> search engine</a>, <a href="https://publications.waset.org/abstracts/search?q=URL" title=" URL"> URL</a>, <a href="https://publications.waset.org/abstracts/search?q=question" title=" question"> question</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20building" title=" corpus building"> corpus building</a>, <a href="https://publications.waset.org/abstracts/search?q=script" title=" script"> script</a>, <a href="https://publications.waset.org/abstracts/search?q=Google" title=" Google"> Google</a>, <a href="https://publications.waset.org/abstracts/search?q=html" title=" html"> html</a>, <a href="https://publications.waset.org/abstracts/search?q=txt" title=" txt"> txt</a> </p> <a href="https://publications.waset.org/abstracts/46758/a-preliminary-study-for-building-an-arabic-corpus-of-pair-questions-texts-from-the-web-aqa-webcorp" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46758.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">323</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1543</span> Native Language Identification with Cross-Corpus Evaluation Using Social Media Data: ’Reddit’</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasmeen%20Bassas">Yasmeen Bassas</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandra%20Kuebler"> Sandra Kuebler</a>, <a href="https://publications.waset.org/abstracts/search?q=Allen%20Riddell"> Allen Riddell</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Native language identification is one of the growing subfields in natural language processing (NLP). The task of native language identification (NLI) is mainly concerned with predicting the native language of an author’s writing in a second language. In this paper, we investigate the performance of two types of features; content-based features vs. content independent features, when they are evaluated on a different corpus (using social media data “Reddit”). In this NLI task, the predefined models are trained on one corpus (TOEFL), and then the trained models are evaluated on different data using an external corpus (Reddit). Three classifiers are used in this task; the baseline, linear SVM, and logistic regression. Results show that content-based features are more accurate and robust than content independent ones when tested within the corpus and across corpus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NLI" title="NLI">NLI</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a>, <a href="https://publications.waset.org/abstracts/search?q=content-based%20features" title=" content-based features"> content-based features</a>, <a href="https://publications.waset.org/abstracts/search?q=content%20independent%20features" title=" content independent features"> content independent features</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media%20corpus" title=" social media corpus"> social media corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=ML" title=" ML"> ML</a> </p> <a href="https://publications.waset.org/abstracts/142396/native-language-identification-with-cross-corpus-evaluation-using-social-media-data-reddit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142396.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1542</span> An Online Corpus-Based Bilingual Collocations Dictionary for Second/Foreign Language Learners</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adriane%20Orenha-Ottaiano">Adriane Orenha-Ottaiano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Collocations are conventionalized, recurrent and arbitrary lexical combinations. Due to the fact that they are highly specific for a particular language and may be contextually restricted, collocations pose a problem to EFL/ESL learners with regard to production or encoding. Taking that into account, the compilation of monolingual and bilingual collocations dictionaries for the referred audience is highly crucial and significant. Thus, the aim of this paper is to discuss the importance of the compilation of an Online Corpus-based Bilingual Collocations Dictionary, in the English-Portuguese and Portuguese-English directions. On a first phase, with the use of WordSmith Tools, the collocations were extracted from a Translation Learner Corpus (TLC), a parallel corpus made up of university students’ translations in the Portuguese-English direction, with approximately 100,000 words. In a second stage, based on the keywords analyzed from the TLC, more collocational patterns were extracted using the Sketch Engine. In order to include more collocations as well as to ensure dictionary users will have access to more frequent and recurrent collocations, we also use the frequency list from The Corpus of Contemporary American English, with the purpose of extracting more patterns. The dictionary focuses on all types of collocations (verbal, noun, adjectival and adverbial collocations), in order to help the referred audience use them more accurately and productively – so far the dictionary has more than 330 entries, and more than 3,500 collocations extracted. The idea of having the proposed dictionary in online format may allow to incorporate more qualitatively and quantitatively collocational information. Besides, more examples may be included, different from conventional printed collocations dictionaries. Being the first bilingual collocations dictionary in the aforementioned directions, it is hoped to achieve the challenge of meeting learners’ collocational needs as the collocations have been selected according to learners’ difficulties regarding the use of collocations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Corpus-Based%20Collocations%20Dictionary" title="Corpus-Based Collocations Dictionary">Corpus-Based Collocations Dictionary</a>, <a href="https://publications.waset.org/abstracts/search?q=Collocations" title=" Collocations "> Collocations </a>, <a href="https://publications.waset.org/abstracts/search?q=Bilingual%20Collocations%20Dictionary" title=" Bilingual Collocations Dictionary"> Bilingual Collocations Dictionary</a>, <a href="https://publications.waset.org/abstracts/search?q=Collocational%20Patterns" title=" Collocational Patterns"> Collocational Patterns</a> </p> <a href="https://publications.waset.org/abstracts/65812/an-online-corpus-based-bilingual-collocations-dictionary-for-secondforeign-language-learners" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65812.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">309</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1541</span> Damage Strain Analysis of Parallel Fiber Eutectic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jian%20Zheng">Jian Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Xinhua%20Ni"> Xinhua Ni</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiequan%20Liu"> Xiequan Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to isotropy of parallel fiber eutectic, the no- damage strain field in parallel fiber eutectic is obtained from the flexibility tensor of parallel fiber eutectic. Considering the damage behavior of parallel fiber eutectic, damage variables are introduced to determine the strain field of parallel fiber eutectic. The damage strains in the matrix, interphase, and fiber of parallel fiber eutectic are quantitatively analyzed. Results show that damage strains are not only associated with the fiber volume fraction of parallel fiber eutectic, but also with the damage degree. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=damage%20strain" title="damage strain">damage strain</a>, <a href="https://publications.waset.org/abstracts/search?q=initial%20strain" title=" initial strain"> initial strain</a>, <a href="https://publications.waset.org/abstracts/search?q=fiber%20volume%20fraction" title=" fiber volume fraction"> fiber volume fraction</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20fiber%20eutectic" title=" parallel fiber eutectic"> parallel fiber eutectic</a> </p> <a href="https://publications.waset.org/abstracts/60032/damage-strain-analysis-of-parallel-fiber-eutectic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">576</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1540</span> Parallel PRBS Generation and Parallel BER Tester for 8-Gbps On-chip Interconnection Testing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Bin">Zhao Bin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Dan%20Lei"> Yan Dan Lei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a multi-pattern parallel PRBS generator and a dedicated parallel BER tester is proposed for the 8-Gbps On-chip interconnection testing. A unique full-parallel PRBS checker is also proposed. The proposed design, together with the custom-designed high-speed parallel-to-serial and the serial-to-parallel circuit, will be used to test different on-chip interconnection transceivers. The design is implemented in TSMC 28nm CMOS technology with working voltage at 1.0 V. The serial to parallel ratio is 8:1 so the parallel PRBS generation and BER Tester can be run at lower speed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PRBS" title="PRBS">PRBS</a>, <a href="https://publications.waset.org/abstracts/search?q=BER" title=" BER"> BER</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20speed" title=" high speed"> high speed</a>, <a href="https://publications.waset.org/abstracts/search?q=generator" title=" generator"> generator</a> </p> <a href="https://publications.waset.org/abstracts/35064/parallel-prbs-generation-and-parallel-ber-tester-for-8-gbps-on-chip-interconnection-testing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35064.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">760</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1539</span> Semantic Preference across Research Articles: A Corpus-Based Study of Adjectives in English</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vald%C3%AAnia%20Carvalho%20e%20Almeida">Valdênia Carvalho e Almeida</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The goal of the present study is to investigate the semantic preference of the most frequent adjectives in research articles through a corpus-based analysis of texts published in journals in Applied Linguistics (AL). The corpus used in this study contains texts published in the period from 2014 to 2018 in the three journals: Language Learning and Technology; English for Academic Purposes, and TESOL Quaterly, totaling more than one million words. A corpus-based analysis was carried out on the corpus to identify the most frequent adjectives that co-occurred in the three journals. By observing the concordance lines of the adjectives and analyzing the words they associated with, the semantic preferences of each adjective were determined. Later, the AL corpus analysis was compared to the investigation of the same adjectives in a corpus of Chemistry. This second part of the study aimed to identify possible differences and similarities between the two corpora in relation to the use of the adjectives in research articles from both areas. The results show that there are some preferences which seem to be closely related not only to the academic genre of the texts but also to the specific domain of the discipline and, to a lesser extent, to the context of research in each journal. This research illustrates a possible contribution of Corpus Linguistics to explore the concept of semantic preference in more detail, considering the complex nature of the phenomenon. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=applied%20linguistics" title="applied linguistics">applied linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title=" corpus linguistics"> corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=chemistry" title=" chemistry"> chemistry</a>, <a href="https://publications.waset.org/abstracts/search?q=research%20article" title=" research article"> research article</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20preference" title=" semantic preference"> semantic preference</a> </p> <a href="https://publications.waset.org/abstracts/107205/semantic-preference-across-research-articles-a-corpus-based-study-of-adjectives-in-english" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107205.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">185</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1538</span> Specialized Translation Teaching Strategies: A Corpus-Based Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yingying%20Ding">Yingying Ding</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a methodology of specialized translation with the objective of helping teachers to improve the strategies in teaching translation. In order to allow students to acquire skills to translate specialized texts, they need to become familiar with the semantic and syntactic features of source texts and target texts. The aim of our study is to use a corpus-based approach in the teaching of specialized translation between Chinese and Italian. This study proposes to construct a specialized Chinese - Italian comparable corpus that consists of 50 economic contracts from the domain of food. With the help of AntConc, we propose to compile a comparable corpus in for translation teaching purposes. This paper attempts to provide insight into how teachers could benefit from comparable corpus in the teaching of specialized translation from Italian into Chinese and through some examples of passive sentences how students could learn to apply different strategies for translating appropriately the voice. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contrastive%20studies" title="contrastive studies">contrastive studies</a>, <a href="https://publications.waset.org/abstracts/search?q=specialised%20translation" title=" specialised translation"> specialised translation</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus-based%20approach" title=" corpus-based approach"> corpus-based approach</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching" title=" teaching"> teaching</a> </p> <a href="https://publications.waset.org/abstracts/84027/specialized-translation-teaching-strategies-a-corpus-based-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84027.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">371</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1537</span> Grammatically Coded Corpus of Spoken Lithuanian: Methodology and Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Kamandulyt%C4%97-Merfeldien%C4%97">L. Kamandulytė-Merfeldienė</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with the main issues of methodology of the <em>Corpus of Spoken Lithuanian </em>which was started to be developed in 2006. At present, the corpus consists of 300,000 grammatically annotated word forms. The creation of the corpus consists of three main stages: collecting the data, the transcription of the recorded data, and the grammatical annotation. Collecting the data was based on the principles of balance and naturality. The recorded speech was transcribed according to the CHAT requirements of CHILDES. The transcripts were double-checked and annotated grammatically using CHILDES. The development of the Corpus of Spoken Lithuanian has led to the constant increase in studies on spontaneous communication, and various papers have dealt with a distribution of parts of speech, use of different grammatical forms, variation of inflectional paradigms, distribution of fillers, syntactic functions of adjectives, the mean length of utterances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CHILDES" title="CHILDES">CHILDES</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20of%20spoken%20Lithuanian" title=" corpus of spoken Lithuanian"> corpus of spoken Lithuanian</a>, <a href="https://publications.waset.org/abstracts/search?q=grammatical%20annotation" title=" grammatical annotation"> grammatical annotation</a>, <a href="https://publications.waset.org/abstracts/search?q=grammatical%20disambiguation" title=" grammatical disambiguation"> grammatical disambiguation</a>, <a href="https://publications.waset.org/abstracts/search?q=lexicon" title=" lexicon"> lexicon</a>, <a href="https://publications.waset.org/abstracts/search?q=Lithuanian" title=" Lithuanian"> Lithuanian</a> </p> <a href="https://publications.waset.org/abstracts/58169/grammatically-coded-corpus-of-spoken-lithuanian-methodology-and-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58169.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">236</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1536</span> Corpus Linguistics as a Tool for Translation Studies Analysis: A Bilingual Parallel Corpus of Students’ Translations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Juan-Pedro%20Rica-Peromingo">Juan-Pedro Rica-Peromingo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, corpus linguistics has become a key research methodology for Translation Studies, which broadens the scope of cross-linguistic studies. In the case of the study presented here, the approach used focuses on learners with little or no experience to study, at an early stage, general mistakes and errors, the correct or incorrect use of translation strategies, and to improve the translational competence of the students. Led by Sylviane Granger and Marie-Aude Lefer of the Centre for English Corpus Linguistics of the University of Louvain, the MUST corpus (MUltilingual Student Translation Corpus) is an international project which brings together partners from Europe and worldwide universities and connects Learner Corpus Research (LCR) and Translation Studies (TS). It aims to build a corpus of translations carried out by students including both direct (L2 > L1) an indirect (L1 > L2) translations, from a great variety of text types, genres, and registers in a wide variety of languages: audiovisual translations (including dubbing, subtitling for hearing population and for deaf population), scientific, humanistic, literary, economic and legal translation texts. This paper focuses on the work carried out by the Spanish team from the Complutense University (UCMA), which is part of the MUST project, and it describes the specific features of the corpus built by its members. All the texts used by UCMA are either direct or indirect translations between English and Spanish. Students’ profiles comprise translation trainees, foreign language students with a major in English, engineers studying EFL and MA students, all of them with different English levels (from B1 to C1); for some of the students, this would be their first experience with translation. The MUST corpus is searchable via Hypal4MUST, a web-based interface developed by Adam Obrusnik from Masaryk University (Czech Republic), which includes a translation-oriented annotation system (TAS). A distinctive feature of the interface is that it allows source texts and target texts to be aligned, so we can be able to observe and compare in detail both language structures and study translation strategies used by students. The initial data obtained point out the kind of difficulties encountered by the students and reveal the most frequent strategies implemented by the learners according to their level of English, their translation experience and the text genres. We have also found common errors in the graduate and postgraduate university students’ translations: transfer errors, lexical errors, grammatical errors, text-specific translation errors, and cultural-related errors have been identified. Analyzing all these parameters will provide more material to bring better solutions to improve the quality of teaching and the translations produced by the students. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus%20studies" title="corpus studies">corpus studies</a>, <a href="https://publications.waset.org/abstracts/search?q=students%E2%80%99%20corpus" title=" students’ corpus"> students’ corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20MUST%20corpus" title=" the MUST corpus"> the MUST corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=translation%20studies" title=" translation studies"> translation studies</a> </p> <a href="https://publications.waset.org/abstracts/107474/corpus-linguistics-as-a-tool-for-translation-studies-analysis-a-bilingual-parallel-corpus-of-students-translations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107474.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1535</span> Corporate Cautionary Statement: A Genre of Professional Communication </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chie%20Urawa">Chie Urawa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cautionary statements or disclaimers in corporate annual reports need to be carefully designed because clear cautionary statements may protect a company in the case of legal disputes and may undermine positive impressions. This study compares the language of cautionary statements using two corpora, Sony’s cautionary statement corpus (S-corpus) and Panasonic’s cautionary statement corpus (P-corpus), illustrating the differences and similarities in relation to the use of meaningful cautionary statements and critically analyzing why practitioners use the way. The findings describe the distinct differences between the two companies in the presentation of the risk factors and the way how they make the statements. The word ability is used more for legal protection in S-corpus whereas the word possibility is used more to convey a better impression in P-corpus. The main similarities are identified in the use of lexical words and pronouns, and almost the same wordings for eight years. The findings show how they make the statements unique to the company in the presentation of risk factors, and the characteristics of specific genre of professional communication. Important implications of this study are that more comprehensive approach can be applied in other contexts, and be used by companies to reflect upon their cautionary statements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cautionary%20statements" title="cautionary statements">cautionary statements</a>, <a href="https://publications.waset.org/abstracts/search?q=corporate%20annual%20reports" title=" corporate annual reports"> corporate annual reports</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus" title=" corpus"> corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a> </p> <a href="https://publications.waset.org/abstracts/84605/corporate-cautionary-statement-a-genre-of-professional-communication" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84605.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">171</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1534</span> English for Academic and Specific Purposes: A Corpus-Informed Approach to Designing Vocabulary Teaching Materials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Said%20Ahmed%20Zohairy">Said Ahmed Zohairy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Significant shifts in the theory and practice of teaching vocabulary affect teachers’ decisions about learning materials’ design. Relevant literature supports teaching specialised, authentic, and multi-word lexical items rather than focusing on single-word vocabulary lists. Corpora, collections of texts stored in a database, presents a reliable source of teaching and learning materials. Although corpus-informed studies provided guidance for teachers to identify useful language chunks and phraseological units, there is a scarcity in the literature discussing the use of corpora in teaching English for academic and specific purposes (EASP). The aim of this study is to improve teaching practices and provide a description of the pedagogical choices and procedures of an EASP tutor in an attempt to offer guidance for novice corpus users. It draws on the researcher’s experience of utilising corpus linguistic tools to design vocabulary learning activities without focusing on students’ learning outcomes. Hence, it adopts a self-study research methodology which is based on five methodological components suggested by other self-study researchers. The findings of the study noted that designing specialised and corpus-informed vocabulary learning activities could be challenging for teachers, as they require technical knowledge of how to navigate corpora and utilise corpus analysis tools. Findings also include a description of the researcher’s approach to building and analysing a specialised corpus for the benefit of novice corpus users; they should be able to start their own journey of designing corpus-based activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpora" title="corpora">corpora</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title=" corpus linguistics"> corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus-informed" title=" corpus-informed"> corpus-informed</a>, <a href="https://publications.waset.org/abstracts/search?q=English%20for%20academic%20and%20specific%20purposes" title=" English for academic and specific purposes"> English for academic and specific purposes</a>, <a href="https://publications.waset.org/abstracts/search?q=agribusiness" title=" agribusiness"> agribusiness</a>, <a href="https://publications.waset.org/abstracts/search?q=vocabulary" title=" vocabulary"> vocabulary</a>, <a href="https://publications.waset.org/abstracts/search?q=phraseological%20units" title=" phraseological units"> phraseological units</a>, <a href="https://publications.waset.org/abstracts/search?q=materials%20design" title=" materials design"> materials design</a> </p> <a href="https://publications.waset.org/abstracts/190242/english-for-academic-and-specific-purposes-a-corpus-informed-approach-to-designing-vocabulary-teaching-materials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190242.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">24</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1533</span> A Parallel Implementation of k-Means in MATLAB</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dimitris%20Varsamis">Dimitris Varsamis</a>, <a href="https://publications.waset.org/abstracts/search?q=Christos%20Talagkozis"> Christos Talagkozis</a>, <a href="https://publications.waset.org/abstracts/search?q=Alkiviadis%20Tsimpiris"> Alkiviadis Tsimpiris</a>, <a href="https://publications.waset.org/abstracts/search?q=Paris%20Mastorocostas"> Paris Mastorocostas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this work is the parallel implementation of k-means in MATLAB, in order to reduce the execution time. Specifically, a new function in MATLAB for serial k-means algorithm is developed, which meets all the requirements for the conversion to a function in MATLAB with parallel computations. Additionally, two different variants for the definition of initial values are presented. In the sequel, the parallel approach is presented. Finally, the performance tests for the computation times respect to the numbers of features and classes are illustrated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=K-means%20algorithm" title="K-means algorithm">K-means algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20computations" title=" parallel computations"> parallel computations</a>, <a href="https://publications.waset.org/abstracts/search?q=Matlab" title=" Matlab"> Matlab</a> </p> <a href="https://publications.waset.org/abstracts/80503/a-parallel-implementation-of-k-means-in-matlab" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80503.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1532</span> A Survey on Constraint Solving Approaches Using Parallel Architectures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nebras%20Gharbi">Nebras Gharbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Itebeddine%20Ghorbel"> Itebeddine Ghorbel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the latest years and with the advancements of the multicore computing world, the constraint programming community tried to benefit from the capacity of new machines and make the best use of them through several parallel schemes for constraint solving. In this paper, we propose a survey of the different proposed approaches to solve Constraint Satisfaction Problems using parallel architectures. These approaches use in a different way a parallel architecture: the problem itself could be solved differently by several solvers or could be split over solvers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20programming" title=" parallel programming"> parallel programming</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint%20satisfaction%20problem" title=" constraint satisfaction problem"> constraint satisfaction problem</a>, <a href="https://publications.waset.org/abstracts/search?q=speed-up" title=" speed-up"> speed-up</a> </p> <a href="https://publications.waset.org/abstracts/50394/a-survey-on-constraint-solving-approaches-using-parallel-architectures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50394.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1531</span> A Corpus-Based Study of Subtitling Religious Words into Arabic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Sahari">Yousef Sahari</a>, <a href="https://publications.waset.org/abstracts/search?q=Eisa%20Asiri"> Eisa Asiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hollywood films are produced in an open and liberal context, and when subtitling for a more conservative and closed society such as an Arabic society, religious words can pose a thorny challenge for subtitlers. Using a corpus of 90 Hollywood films released between 2000 and 2018 and applying insights from Descriptive Translation Studies (Toury, 1995, 2012) and the dichotomy of domestication and foreignization, this paper investigates three main research questions: (1) What are the dominant religious terms and functions in the English subtitles? (2) What are the dominant translation strategies used in the translation of religious words? (3) Do these strategies tend to be SL-oriented or TL-oriented (domesticating or foreignising)? To answer the research questions above, a quantitative and qualitative analysis of the corpus is conducted, in which the researcher adopts a self-designed, parallel, aligned corpus of ninety films and their Arabic subtitles. A quantitative analysis is performed to compare the frequencies and distribution of religious words, their functions, and the translation strategies employed by the subtitlers of ninety films, with the aim of identifying similarities or differences in addition to identifying the impact of functions of religious terms on the use of subtitling strategies. Based on the quantitative analysis, a qualitative analysis is performed to identify any translational patterns in Arabic translations of religious words and the possible reasons for subtitlers’ choices. The results show that the function of religious words has a strong influence on the choice of subtitling strategies. Also, it is found that foreignization strategies are applied in about two-thirds of the total occurrences of religious words. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=religious%20terms" title="religious terms">religious terms</a>, <a href="https://publications.waset.org/abstracts/search?q=subtitling" title=" subtitling"> subtitling</a>, <a href="https://publications.waset.org/abstracts/search?q=audiovisual%20translation" title=" audiovisual translation"> audiovisual translation</a>, <a href="https://publications.waset.org/abstracts/search?q=modern%20standard%20arabic" title=" modern standard arabic"> modern standard arabic</a>, <a href="https://publications.waset.org/abstracts/search?q=subtitling%20strategies" title=" subtitling strategies"> subtitling strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=english-arabic%20subtitling" title=" english-arabic subtitling"> english-arabic subtitling</a> </p> <a href="https://publications.waset.org/abstracts/153911/a-corpus-based-study-of-subtitling-religious-words-into-arabic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153911.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1530</span> A Corpus-Assisted Discourse Analysis of Adjectival Collocation of the Word 'Education' in the American Context</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ngan%20Nguyen">Ngan Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study analyses adjectives collocating with the word ‘education’ in the American language of the Corpus of Global Web-based English using a combination of corpus linguistic and discourse analytical methods to examine not only language patterns but also social political ideologies around the topic. Significant conclusions are deduced: (1) there are a large number of adjectival collocates of the word education which have been identified and classified into four categories representing four different aspects of education: level, quality, forms and types of education; (2) education, as in combination with three first categories, carries the meaning as the act and process of teaching and learning while with the last category having the meaning of a particular kind of teaching or training; (3) higher education is the topic that gains most concerns from the American public; (4) five most significant ideologies are discovered from the corpus: higher education associates with financial affairs, higher education is an industry, monetary policy of the government on higher education, people require greater accessibility to higher education and people value higher education. The study contributes to the field of developing meanings of words through corpus analysis and the field of discourse analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adjectival%20collocation" title="adjectival collocation">adjectival collocation</a>, <a href="https://publications.waset.org/abstracts/search?q=American%20context" title=" American context"> American context</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title=" corpus linguistics"> corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=discourse%20analysis" title=" discourse analysis"> discourse analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a> </p> <a href="https://publications.waset.org/abstracts/56903/a-corpus-assisted-discourse-analysis-of-adjectival-collocation-of-the-word-education-in-the-american-context" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56903.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">346</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1529</span> Saudi Twitter Corpus for Sentiment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adel%20Assiri">Adel Assiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Emam"> Ahmed Emam</a>, <a href="https://publications.waset.org/abstracts/search?q=Hmood%20Al-Dossari"> Hmood Al-Dossari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sentiment analysis (SA) has received growing attention in Arabic language research. However, few studies have yet to directly apply SA to Arabic due to lack of a publicly available dataset for this language. This paper partially bridges this gap due to its focus on one of the Arabic dialects which is the Saudi dialect. This paper presents annotated data set of 4700 for Saudi dialect sentiment analysis with (K= 0.807). Our next work is to extend this corpus and creation a large-scale lexicon for Saudi dialect from the corpus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabic" title="Arabic">Arabic</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Twitter" title=" Twitter"> Twitter</a>, <a href="https://publications.waset.org/abstracts/search?q=annotation" title=" annotation"> annotation</a> </p> <a href="https://publications.waset.org/abstracts/44819/saudi-twitter-corpus-for-sentiment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44819.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">629</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1528</span> Corpus Linguistic Methods in a Theoretical Study of Quran Verb Tense and Aspect in Translations from Arabic to English</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jawharah%20Alasmari">Jawharah Alasmari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In inflectional morphology of verb, tense and aspect indicate action’s time either past/present or future and their period whether completed or not. The usage and meaning of tense and aspect differ in Arabic and English, therefore is no simple one -to- one mapping from an Arabic verb inflected form an appropriate English translation depends on a range of features, including immediate and wider context of use. The Quranic Arabic Corpus includes seven alternative expertly crafted English translations of each Arabic verses, which provides a test dataset for the study of appropriate Arabic to English translations of verb tense and aspect. We applied Corpus Linguistics Methods in a theoretical study of exemplary verbs, to elicit candidate verbal contexts which influence the choice of English inflection for each verse. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Corpus%20linguistics%20methods" title="Corpus linguistics methods">Corpus linguistics methods</a>, <a href="https://publications.waset.org/abstracts/search?q=Arabic%20verb" title=" Arabic verb"> Arabic verb</a>, <a href="https://publications.waset.org/abstracts/search?q=tense%20and%20aspect" title=" tense and aspect"> tense and aspect</a>, <a href="https://publications.waset.org/abstracts/search?q=English%20translations" title=" English translations"> English translations</a> </p> <a href="https://publications.waset.org/abstracts/69201/corpus-linguistic-methods-in-a-theoretical-study-of-quran-verb-tense-and-aspect-in-translations-from-arabic-to-english" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">391</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1527</span> Translating the Gendered Discourse: A Corpus-Based Study of the Chinese Science Fiction The Three Body Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yi%20Gu">Yi Gu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Three-Body Problem by Cixin Liu has been a bestseller Chinese Sci-Fi novel for years since 2008. The book was translated into English by Ken Liu in 2014 and won the prestigious 2015 science fiction and fantasy writing Hugo Award, drawing greater attention from wider international communities. The story exposes the horrors of the Chinese Cultural Revolution in the 1960s, in an intriguing narrative for readers at home and abroad. However, without the access to the source text, western readers may not be aware that the original Chinese version of the book is rich in gender-bias. Some Chinese scholars have applied feminist translation theories to their analysis on this book before, based on isolated selected, cherry-picking examples. Thus this paper aims to obtain a more thorough picture of how translators can cope with gender discrimination and reshape the gendered discourse from the source text, by systematically investigating the lexical and syntactic patterns in the translation of Liu’s entire book of 400 pages. The source text and the translation were downloaded into digital files, automatically aligned at paragraph level and then manually post-edited. They were then compiled into a parallel corpus of 114,629 English words and 204,145 Chinese characters using Sketch Engine. Gender-discrimination markers such as the overuse of ‘girl’ to describe an adult woman were searched in the source text, and the alignment made it possible to identify the strategies adopted by the translator to mitigate gender discrimination. The results provide a framework for translators to address gender bias. The study also shows how corpus methods can be used to further research in feminist translation and critical discourse analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus" title="corpus">corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=discourse%20analysis" title=" discourse analysis"> discourse analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=feminist%20translation" title=" feminist translation"> feminist translation</a>, <a href="https://publications.waset.org/abstracts/search?q=science%20fiction%20translation" title=" science fiction translation"> science fiction translation</a> </p> <a href="https://publications.waset.org/abstracts/91710/translating-the-gendered-discourse-a-corpus-based-study-of-the-chinese-science-fiction-the-three-body-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1526</span> Combining Corpus Linguistics and Critical Discourse Analysis to Study Power Relations in Hindi Newspapers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vandana%20Mishra">Vandana Mishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Niladri%20Sekhar%20Dash"> Niladri Sekhar Dash</a>, <a href="https://publications.waset.org/abstracts/search?q=Jayshree%20Charkraborty"> Jayshree Charkraborty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This present paper focuses on the application of corpus linguistics techniques for critical discourse analysis (CDA) of Hindi newspapers. While Corpus linguistics is the study of language as expressed in corpora (samples) of 'real world' text, CDA is an interdisciplinary approach to the study of discourse that views language as a form of social practice. CDA has mainly been studied from a qualitative perspective. However, we can say that recent studies have begun combining corpus linguistics with CDA in analyzing large volumes of text for the study of existing power relations in society. The corpus under our study is also of a sizable amount (1 million words of Hindi newspaper texts) and its analysis requires an alternative analytical procedure. So, we have combined both the quantitative approach i.e. the use of corpus techniques with CDA’s traditional qualitative analysis. In this context, we have focused on the Keyword Analysis Sorting Concordance Lines of the selected Keywords and calculating collocates of the keywords. We have made use of the Wordsmith Tool for all these analysis. The analysis starts with identifying the keywords in the political news corpus when compared with the main news corpus. The keywords are extracted from the corpus based on their keyness calculated through statistical tests like chi-squared test and log-likelihood test on the frequent words of the corpus. Some of the top occurring keywords are मोदी (Modi), भाजपा (BJP), कांग्रेस (Congress), सरकार (Government) and पार्टी (Political party). This is followed by the concordance analysis of these keywords which generates thousands of lines but we have to select few lines and examine them based on our objective. We have also calculated the collocates of the keywords based on their Mutual Information (MI) score. Both concordance and collocation help to identify lexical patterns in the political texts. Finally, all these quantitative results derived from the corpus techniques will be subjectively interpreted in accordance to the CDA’s theory to examine the ways in which political news discourse produces social and political inequality, power abuse or domination. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=critical%20discourse%20analysis" title="critical discourse analysis">critical discourse analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title=" corpus linguistics"> corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=Hindi%20newspapers" title=" Hindi newspapers"> Hindi newspapers</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20relations" title=" power relations"> power relations</a> </p> <a href="https://publications.waset.org/abstracts/88699/combining-corpus-linguistics-and-critical-discourse-analysis-to-study-power-relations-in-hindi-newspapers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88699.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">224</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1525</span> A Corpus-Based Discourse Analysis of the Disappearance of MH370 in Malaysia and United Kingdom Newspapers: A Pilot Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Theng%20Theng%20Ong">Theng Theng Ong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This pilot study adopts a corpus-based discourse analysis to explore the construction of Malaysia airline tragedy MH370 in the selected Malaysian and United Kingdom (UK) newspapers. Fairclough’s three-dimensional model is adopted in the study to support the corpus-based analysis. The analysis aims to determine the ways in which Malaysian Airline tragedy MH370 is linguistically defined and constructed in terms of keywords and collocation. The study also seeks to identify the types of discourse that are presented in the news articles. In addition, the differences or similarities in terms of keywords, topics or issues covered by the selected Malaysian and UK news media are examined. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus" title="corpus">corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=CDA" title=" CDA"> CDA</a>, <a href="https://publications.waset.org/abstracts/search?q=newspapers" title=" newspapers"> newspapers</a>, <a href="https://publications.waset.org/abstracts/search?q=airline%20tragedies" title=" airline tragedies"> airline tragedies</a> </p> <a href="https://publications.waset.org/abstracts/48752/a-corpus-based-discourse-analysis-of-the-disappearance-of-mh370-in-malaysia-and-united-kingdom-newspapers-a-pilot-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48752.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">300</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1524</span> Passive Voice in SLA: Armenian Learners’ Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emma%20Nemishalyan">Emma Nemishalyan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is believed that learners’ mother tongue (L1 hereafter) has a huge impact on their second language acquisition (L2 hereafter). This hypothesis has been exposed to both positive and negative criticism. Based on research results of a wide range of learners’ corpora (Chinese, Japanese, Spanish among others) the hypothesis has either been proved or disproved. However, no such study has been conducted on the Armenian learners. The aim of this paper is to understand the implication of the hypothesis on the Armenian learners’ corpus in terms of the use of the passive voice. To this end, the method of Contrastive Interlanguage Analysis (hereafter CIA) has been used on native speakers’ corpus (Louvain Corpus of Native English Essays (LOCNESS)) and Armenian learners’ corpus which has been compiled by me in compliance with International Corpus of Learner English (ICLE) guidelines. CIA compares the interlanguage (the language produced by learners) with the one produced by native speakers. With the help of this method, it is possible not only to highlight the mistakes that learners make, but also to underline the under or overuses. The choice of the grammar issue (passive voice) is conditioned by the fact that typologically Armenian and English are drastically different as they belong to different branches. Moreover, the passive voice is considered to be one of the most problematic grammar topics to be acquired by learners of the English language. Based on this difference, we hypothesized that Armenian learners would either overuse or underuse some types of the passive voice. With the help of Lancsbox software, we have identified the frequency rates of passive voice usage in LOCNESS and Armenian learners’ corpus to understand whether the latter have the same usage pattern of the passive voice as the native speakers. Secondly, we have identified the types of the passive voice used by the Armenian leaners trying to track down the reasons in their mother tongue. The results of the study showed that Armenian learners underused the passive voices in contrast to native speakers. Furthermore, the hypothesis that learners’ L1 has an impact on learners’ L2 acquisition and production was proved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title="corpus linguistics">corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=applied%20linguistics" title=" applied linguistics"> applied linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=second%20language%20acquisition" title=" second language acquisition"> second language acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus%20compilation" title=" corpus compilation"> corpus compilation</a> </p> <a href="https://publications.waset.org/abstracts/165348/passive-voice-in-sla-armenian-learners-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1523</span> The Vision Baed Parallel Robot Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun%20Lim">Sun Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyun%20Jung"> Kyun Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we describe the control strategy of high speed parallel robot system with EtherCAT network. This work deals the parallel robot system with centralized control on the real-time operating system such as window TwinCAT3. Most control scheme and algorithm is implemented master platform on the PC, the input and output interface is ported on the slave side. The data is transferred by maximum 20usecond with 1000byte. EtherCAT is very high speed and stable industrial network. The control strategy with EtherCAT is very useful and robust on Ethernet network environment. The developed parallel robot is controlled pre-design nonlinear controller for 6G/0.43 cycle time of pick and place motion tracking. The experiment shows the good design and validation of the controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20control" title="parallel robot control">parallel robot control</a>, <a href="https://publications.waset.org/abstracts/search?q=etherCAT" title=" etherCAT"> etherCAT</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20control" title=" nonlinear control"> nonlinear control</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20robot%20inverse%20kinematic" title=" parallel robot inverse kinematic"> parallel robot inverse kinematic</a> </p> <a href="https://publications.waset.org/abstracts/27428/the-vision-baed-parallel-robot-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27428.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">571</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1522</span> Flowing Online Vehicle GPS Data Clustering Using a New Parallel K-Means Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Orhun%20Vural">Orhun Vural</a>, <a href="https://publications.waset.org/abstracts/search?q=Oguz%20%20Bayat"> Oguz Bayat</a>, <a href="https://publications.waset.org/abstracts/search?q=Rustu%20Akay"> Rustu Akay</a>, <a href="https://publications.waset.org/abstracts/search?q=Osman%20N.%20Ucan"> Osman N. Ucan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents a new parallel approach clustering of GPS data. Evaluation has been made by comparing execution time of various clustering algorithms on GPS data. This paper aims to propose a parallel based on neighborhood K-means algorithm to make it faster. The proposed parallelization approach assumes that each GPS data represents a vehicle and to communicate between vehicles close to each other after vehicles are clustered. This parallelization approach has been examined on different sized continuously changing GPS data and compared with serial K-means algorithm and other serial clustering algorithms. The results demonstrated that proposed parallel K-means algorithm has been shown to work much faster than other clustering algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20k-means%20algorithm" title="parallel k-means algorithm">parallel k-means algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20clustering" title=" parallel clustering"> parallel clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering%20algorithms" title=" clustering algorithms"> clustering algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering%20on%20flowing%20data" title=" clustering on flowing data"> clustering on flowing data</a> </p> <a href="https://publications.waset.org/abstracts/86622/flowing-online-vehicle-gps-data-clustering-using-a-new-parallel-k-means-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86622.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">221</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1521</span> The Repetition of New Words and Information in Mandarin-Speaking Children: A Corpus-Based Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jian-Jun%20Gao">Jian-Jun Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Repetition is used for a variety of functions in conversation. When young children first learn to speak, they often repeat words from the adult’s recent utterance with the learning and social function. The objective of this study was to ascertain whether the repetitions are equivalent in indicating attention to new words and the initial repeat of information in conversation. Based on the observation of naturally occurring language use in Taiwan Corpus of Child Mandarin (TCCM), the results in this study provided empirical support to the previous findings that children are more likely to repeat new words they are offered than to repeat new information. When children get older, there would be a drop in the repetition of both new words and new information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acquisition" title="acquisition">acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=corpus" title=" corpus"> corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=mandarin" title=" mandarin"> mandarin</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20words" title=" new words"> new words</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20information" title=" new information"> new information</a>, <a href="https://publications.waset.org/abstracts/search?q=repetition" title=" repetition"> repetition</a> </p> <a href="https://publications.waset.org/abstracts/106580/the-repetition-of-new-words-and-information-in-mandarin-speaking-children-a-corpus-based-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106580.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1520</span> Chinese Students’ Use of Corpus Tools in an English for Academic Purposes Writing Course: Influence on Learning Behaviour, Performance Outcomes and Perceptions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jingwen%20Ou">Jingwen Ou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Writing for academic purposes in a second or foreign language poses a significant challenge for non-native speakers, particularly at the tertiary level, where English academic writing for L2 students is often hindered by difficulties in academic discourse, including vocabulary, academic register, and organization. The past two decades have witnessed a rising popularity in the application of the data-driven learning (DDL) approach in EAP writing instruction. In light of such a trend, this study aims to enhance the integration of DDL into English for academic purposes (EAP) writing classrooms by investigating the perception of Chinese college students regarding the use of corpus tools for improving EAP writing. Additionally, the research explores their corpus consultation behaviors during training to provide insights into corpus-assisted EAP instruction for DDL practitioners. Given the uprising popularity of DDL, this research aims to investigate Chinese university students’ use of corpus tools with three main foci: 1) the influence of corpus tools on learning behaviours, 2) the influence of corpus tools on students’ academic writing performance outcomes, and 3) students’ perceptions and potential perceptional changes towards the use of such tools. Three corpus tools, CQPWeb, Sketch Engine, and LancsBox X, are selected for investigation due to the scarcity of empirical research on patterns of learners’ engagement with a combination of multiple corpora. The research adopts a pre-test / post-test design for the evaluation of students’ academic writing performance before and after the intervention. Twenty participants will be divided into two groups: an intervention and a non-intervention group. Three corpus training workshops will be delivered at the beginning, middle, and end of a semester. An online survey and three separate focus group interviews are designed to investigate students’ perceptions of the use of corpus tools for improving academic writing skills, particularly the rhetorical functions in different essay sections. Insights from students’ consultation sessions indicated difficulties with DDL practice, including insufficiency of time to complete all tasks, struggle with technical set-up, unfamiliarity with the DDL approach and difficulty with some advanced corpus functions. Findings from the main study aim to provide pedagogical insights and training resources for EAP practitioners and learners. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus%20linguistics" title="corpus linguistics">corpus linguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=data-driven%20learning" title=" data-driven learning"> data-driven learning</a>, <a href="https://publications.waset.org/abstracts/search?q=English%20for%20academic%20purposes" title=" English for academic purposes"> English for academic purposes</a>, <a href="https://publications.waset.org/abstracts/search?q=tertiary%20education%20in%20China" title=" tertiary education in China"> tertiary education in China</a> </p> <a href="https://publications.waset.org/abstracts/180899/chinese-students-use-of-corpus-tools-in-an-english-for-academic-purposes-writing-course-influence-on-learning-behaviour-performance-outcomes-and-perceptions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/180899.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">60</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1519</span> Corpus-Based Model of Key Concepts Selection for the Master English Language Course "Government Relations"</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elena%20Pozdnyakova">Elena Pozdnyakova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> “Government Relations” is a field of knowledge presently taught at the majority of universities around the globe. English as the default language can become the language of teaching since the issues discussed are both global and national in character. However for this field of knowledge key concepts and their word representations in English don’t often coincide with those in other languages. International master’s degree students abroad as well as students, taught the course in English at their national universities, are exposed to difficulties, connected with correct conceptualizing of terminology of GR in British and American academic traditions. The study was carried out during the GR English language course elaboration (pilot research: 2013 -2015) at Moscow State Institute of Foreign Relations (University), Russian Federation. Within this period, English language instructors designed and elaborated the three-semester course of GR. Methodologically the course design was based on elaboration model with the special focus on conceptual elaboration sequence and theoretical elaboration sequence. The course designers faced difficulties in concept selection and theoretical elaboration sequence. To improve the results and eliminate the problems with concept selection, a new, corpus-based approach was worked out. The computer-based tool WordSmith 6.0 was used with the aim to build a model of key concept selection. The corpus of GR English texts consisted of 1 million words (the study corpus). The approach was based on measuring effect size, i.e. the percent difference of the frequency of a word in the study corpus when compared to that in the reference corpus. The results obtained proved significant improvement in the process of concept selection. The corpus-based model also facilitated theoretical elaboration of teaching materials. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corpus-based%20study" title="corpus-based study">corpus-based study</a>, <a href="https://publications.waset.org/abstracts/search?q=English%20as%20the%20default%20language" title=" English as the default language"> English as the default language</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20concepts" title=" key concepts"> key concepts</a>, <a href="https://publications.waset.org/abstracts/search?q=measuring%20effect%20size" title=" measuring effect size"> measuring effect size</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20of%20key%20concept%20selection" title=" model of key concept selection "> model of key concept selection </a> </p> <a href="https://publications.waset.org/abstracts/42802/corpus-based-model-of-key-concepts-selection-for-the-master-english-language-course-government-relations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42802.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=parallel%20corpus&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=parallel%20corpus&page=3">3</a></li> <li class="page-item"><a class="page-link" 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