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kannada</title> <meta name="description" content="Search results for: kannada"> <meta name="keywords" content="kannada"> <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 ml-auto" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="kannada"> <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> 20</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: kannada</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">20</span> Kannudi- A Reference Editor for Kannada (Based on OPOK! and OHOK! Principles, and Domain Knowledge)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vishweshwar%20V.%20Dixit">Vishweshwar V. Dixit</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Kannudi is a reference editor introducing a method of input for Kannada, called OHOK!, that is, Ottu Hāku Ottu Koḍu!. This is especially suited for pressure-sensitive input devices, though the current online implementation uses the regular mechanical keyboard. OHOK! has three possible modes, namely, sva-ottu (self-conjunct), kandante (as you see), and andante (as you say). It may be noted that kandante mode does not follow the phonetic order. However, this model may work well for those who are inclined to visualize as they type rather than vocalize the sounds. Kannudi also demonstrates how domain knowledge can be effectively used to potentially increase speed, accuracy, and user-friendliness. For example, selection of a default vowel, automatic shunyification, and arkification. Also implemented are four types of Deletes that are necessary for phono-syllabic languages like Kannada. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=kannada" title="kannada">kannada</a>, <a href="https://publications.waset.org/abstracts/search?q=conjunct" title=" conjunct"> conjunct</a>, <a href="https://publications.waset.org/abstracts/search?q=reference%20editor" title=" reference editor"> reference editor</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20input" title=" pressure input"> pressure input</a> </p> <a href="https://publications.waset.org/abstracts/153904/kannudi-a-reference-editor-for-kannada-based-on-opok-and-ohok-principles-and-domain-knowledge" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153904.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">93</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">19</span> Similar Script Character Recognition on Kannada and Telugu</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gurukiran%20Veerapur">Gurukiran Veerapur</a>, <a href="https://publications.waset.org/abstracts/search?q=Nytik%20Birudavolu"> Nytik Birudavolu</a>, <a href="https://publications.waset.org/abstracts/search?q=Seetharam%20U.%20N."> Seetharam U. N.</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandravva%20Hebbi"> Chandravva Hebbi</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Praneeth%20Reddy"> R. Praneeth Reddy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents a robust approach for the recognition of characters in Telugu and Kannada, two South Indian scripts with structural similarities in characters. To recognize the characters exhaustive datasets are required, but there are only a few publicly available datasets. As a result, we decided to create a dataset for one language (source language),train the model with it, and then test it with the target language.Telugu is the target language in this work, whereas Kannada is the source language. The suggested method makes use of Canny edge features to increase character identification accuracy on pictures with noise and different lighting. A dataset of 45,150 images containing printed Kannada characters was created. The Nudi software was used to automatically generate printed Kannada characters with different writing styles and variations. Manual labelling was employed to ensure the accuracy of the character labels. The deep learning models like CNN (Convolutional Neural Network) and Visual Attention neural network (VAN) are used to experiment with the dataset. A Visual Attention neural network (VAN) architecture was adopted, incorporating additional channels for Canny edge features as the results obtained were good with this approach. The model's accuracy on the combined Telugu and Kannada test dataset was an outstanding 97.3%. Performance was better with Canny edge characteristics applied than with a model that solely used the original grayscale images. The accuracy of the model was found to be 80.11% for Telugu characters and 98.01% for Kannada words when it was tested with these languages. This model, which makes use of cutting-edge machine learning techniques, shows excellent accuracy when identifying and categorizing characters from these scripts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=base%20characters" title="base characters">base characters</a>, <a href="https://publications.waset.org/abstracts/search?q=modifiers" title=" modifiers"> modifiers</a>, <a href="https://publications.waset.org/abstracts/search?q=guninthalu" title=" guninthalu"> guninthalu</a>, <a href="https://publications.waset.org/abstracts/search?q=aksharas" title=" aksharas"> aksharas</a>, <a href="https://publications.waset.org/abstracts/search?q=vattakshara" title=" vattakshara"> vattakshara</a>, <a href="https://publications.waset.org/abstracts/search?q=VAN" title=" VAN"> VAN</a> </p> <a href="https://publications.waset.org/abstracts/184438/similar-script-character-recognition-on-kannada-and-telugu" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184438.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">53</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">18</span> Morpheme Based Parts of Speech Tagger for Kannada Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Padma">M. C. Padma</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20J.%20Prathibha"> R. J. Prathibha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Parts of speech tagging is the process of assigning appropriate parts of speech tags to the words in a given text. The critical or crucial information needed for tagging a word come from its internal structure rather from its neighboring words. The internal structure of a word comprises of its morphological features and grammatical information. This paper presents a morpheme based parts of speech tagger for Kannada language. This proposed work uses hierarchical tag set for assigning tags. The system is tested on some Kannada words taken from EMILLE corpus. Experimental result shows that the performance of the proposed system is above 90%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hierarchical%20tag%20set" title="hierarchical tag set">hierarchical tag set</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20analyzer" title=" morphological analyzer"> morphological analyzer</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20language%20processing" title=" natural language processing"> natural language processing</a>, <a href="https://publications.waset.org/abstracts/search?q=paradigms" title=" paradigms"> paradigms</a>, <a href="https://publications.waset.org/abstracts/search?q=parts%20of%20speech" title=" parts of speech"> parts of speech</a> </p> <a href="https://publications.waset.org/abstracts/46983/morpheme-based-parts-of-speech-tagger-for-kannada-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46983.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">296</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">17</span> Specific Language Impirment in Kannada: Evidence Form a Morphologically Complex Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shivani%20Tiwari">Shivani Tiwari</a>, <a href="https://publications.waset.org/abstracts/search?q=Prathibha%20Karanth"> Prathibha Karanth</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Rajashekhar"> B. Rajashekhar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Impairments of syntactic morphology are often considered central in children with Specific Language Impairment (SLI). In English and related languages, deficits of tense-related grammatical morphology could serve as a clinical marker of SLI. Yet, cross-linguistic studies on SLI in the recent past suggest that the nature and severity of morphosyntactic deficits in children with SLI varies with the language being investigated. Therefore, in the present study we investigated the morphosyntactic deficits in a group of children with SLI who speak Kannada, a morphologically complex Dravidian language spoken in Indian subcontinent. A group of 15 children with SLI participated in this study. Two more groups of typical developing children (15 each) matched for language and age to children with SLI, were included as control participants. All participants were assessed for morphosyntactic comprehension and expression using standardized language test and a spontaneous speech task. Results of the study showed that children with SLI differed significantly from age-matched but not language-matched control group, on tasks of both comprehension and expression of morphosyntax. This finding is, however, in contrast with the reports of English-speaking children with SLI who are reported to be poorer than younger MLU-matched children on tasks of morphosyntax. The observed difference in impairments of morphosyntax in Kannada-speaking children with SLI from English-speaking children with SLI is explained based on the morphological richness theory. The theory predicts that children with SLI perform relatively better in morphologically rich language due to occurrence of their frequent and consistent features that mark the morphological markers. The authors, therefore, conclude that language-specific features do influence manifestation of the disorder in children with SLI. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=specific%20language%20impairment" title="specific language impairment">specific language impairment</a>, <a href="https://publications.waset.org/abstracts/search?q=morphosyntax" title=" morphosyntax"> morphosyntax</a>, <a href="https://publications.waset.org/abstracts/search?q=Kannada" title=" Kannada"> Kannada</a>, <a href="https://publications.waset.org/abstracts/search?q=manifestation" title=" manifestation"> manifestation</a> </p> <a href="https://publications.waset.org/abstracts/12567/specific-language-impirment-in-kannada-evidence-form-a-morphologically-complex-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12567.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">243</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">16</span> Frequency of Consonant Production Errors in Children with Speech Sound Disorder: A Retrospective-Descriptive Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amulya%20P.%20Rao">Amulya P. Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Prathima%20S."> Prathima S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Sreedevi%20N."> Sreedevi N.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Speech sound disorders (SSD) encompass the major concern in younger population of India with highest prevalence rate among the speech disorders. Children with SSD if not identified and rehabilitated at the earliest, are at risk for academic difficulties. This necessitates early identification using screening tools assessing the frequently misarticulated speech sounds. The literature on frequently misarticulated speech sounds is ample in English and other western languages targeting individuals with various communication disorders. Articulation is language specific, and there are limited studies reporting the same in Kannada, a Dravidian Language. Hence, the present study aimed to identify the frequently misarticulated consonants in Kannada and also to examine the error type. A retrospective, descriptive study was carried out using secondary data analysis of 41 participants (34-phonetic type and 7-phonemic type) with SSD in the age range 3-to 12-years. All the consonants of Kannada were analyzed by considering three words for each speech sound from the Kannada Diagnostic Photo Articulation test (KDPAT). Picture naming task was carried out, and responses were audio recorded. The recorded data were transcribed using IPA 2018 broad transcription. A criterion of 2/3 or 3/3 error productions was set to consider the speech sound to be an error. Number of error productions was calculated for each consonant in each participant. Then, the percentage of participants meeting the criteria were documented for each consonant to identify the frequently misarticulated speech sound. Overall results indicated that velar /k/ (48.78%) and /g/ (43.90%) were frequently misarticulated followed by voiced retroflex /ɖ/ (36.58%) and trill /r/ (36.58%). The lateral retroflex /ɭ/ was misarticulated by 31.70% of the children with SSD. Dentals (/t/, /n/), bilabials (/p/, /b/, /m/) and labiodental /v/ were produced correctly by all the participants. The highly misarticulated velars /k/ and /g/ were frequently substituted by dentals /t/ and /d/ respectively or omitted. Participants with SSD-phonemic type had multiple substitutions for one speech sound whereas, SSD-phonetic type had consistent single sound substitutions. Intra- and inter-judge reliability for 10% of the data using Cronbach’s Alpha revealed good reliability (0.8 ≤ α < 0.9). Analyzing a larger sample by replicating such studies will validate the present study results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consonant" title="consonant">consonant</a>, <a href="https://publications.waset.org/abstracts/search?q=frequently%20misarticulated" title=" frequently misarticulated"> frequently misarticulated</a>, <a href="https://publications.waset.org/abstracts/search?q=Kannada" title=" Kannada"> Kannada</a>, <a href="https://publications.waset.org/abstracts/search?q=SSD" title=" SSD"> SSD</a> </p> <a href="https://publications.waset.org/abstracts/105635/frequency-of-consonant-production-errors-in-children-with-speech-sound-disorder-a-retrospective-descriptive-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105635.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">134</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">15</span> Investigating the Effect of Orthographic Transparency on Phonological Awareness in Bilingual Children with Dyslexia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sruthi%20Raveendran">Sruthi Raveendran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Developmental dyslexia, characterized by reading difficulties despite normal intelligence, presents a significant challenge for bilingual children navigating languages with varying degrees of orthographic transparency. This study bridges a critical gap in dyslexia interventions for bilingual populations in India by examining how consistency and predictability of letter-sound relationships in a writing system (orthographic transparency) influence the ability to understand and manipulate the building blocks of sound in language (phonological processing). The study employed a computerized visual rhyme-judgment task with concurrent EEG (electroencephalogram) recording. The task compared reaction times, accuracy of performance, and event-related potential (ERP) components (N170, N400, and LPC) for rhyming and non-rhyming stimuli in two orthographies: English (opaque orthography) and Kannada (transparent orthography). As hypothesized, the results revealed advantages in phonological processing tasks for transparent orthography (Kannada). Children with dyslexia were faster and more accurate when judging rhymes in Kannada compared to English. This suggests that a language with consistent letter-sound relationships (transparent orthography) facilitates processing, especially for tasks that involve manipulating sounds within words (rhyming). Furthermore, brain activity measured by event-related potentials (ERP) showed less effort required for processing words in Kannada, as reflected by smaller N170, N400, and LPC amplitudes. These findings highlight the crucial role of orthographic transparency in optimizing reading performance for bilingual children with dyslexia. These findings emphasize the need for language-specific intervention strategies that consider the unique linguistic characteristics of each language. While acknowledging the complexity of factors influencing dyslexia, this research contributes valuable insights into the impact of orthographic transparency on phonological awareness in bilingual children. This knowledge paves the way for developing tailored interventions that promote linguistic inclusivity and optimize literacy outcomes for children with dyslexia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=developmental%20dyslexia" title="developmental dyslexia">developmental dyslexia</a>, <a href="https://publications.waset.org/abstracts/search?q=phonological%20awareness" title=" phonological awareness"> phonological awareness</a>, <a href="https://publications.waset.org/abstracts/search?q=rhyme%20judgment" title=" rhyme judgment"> rhyme judgment</a>, <a href="https://publications.waset.org/abstracts/search?q=orthographic%20transparency" title=" orthographic transparency"> orthographic transparency</a>, <a href="https://publications.waset.org/abstracts/search?q=Kannada" title=" Kannada"> Kannada</a>, <a href="https://publications.waset.org/abstracts/search?q=English" title=" English"> English</a>, <a href="https://publications.waset.org/abstracts/search?q=N170" title=" N170"> N170</a>, <a href="https://publications.waset.org/abstracts/search?q=N400" title=" N400"> N400</a>, <a href="https://publications.waset.org/abstracts/search?q=LPC" title=" LPC"> LPC</a> </p> <a href="https://publications.waset.org/abstracts/194120/investigating-the-effect-of-orthographic-transparency-on-phonological-awareness-in-bilingual-children-with-dyslexia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194120.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">7</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">14</span> Code Mixing and Code-Switching Patterns in Kannada-English Bilingual Children and Adults Who Stutter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vasupradaa%20Manivannan">Vasupradaa Manivannan</a>, <a href="https://publications.waset.org/abstracts/search?q=Santosh%20Maruthy"> Santosh Maruthy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background/Aims: Preliminary evidence suggests that code-switching and code-mixing may act as one of the voluntary coping behavior to avoid the stuttering characteristics in children and adults; however, less is known about the types and patterns of code-mixing (CM) and code-switching (CS). Further, it is not known how it is different between children to adults who stutter. This study aimed to identify and compare the CM and CS patterns between Kannada-English bilingual children and adults who stutter. Method: A standard group comparison was made between five children who stutter (CWS) in the age range of 9-13 years and five adults who stutter (AWS) in the age range of 20-25 years. The participants who are proficient in Kannada (first language- L1) and English (second language- L2) were considered for the study. There were two tasks given to both the groups, a) General conversation (GC) with 10 random questions, b) Narration task (NAR) (Story / General Topic, for example., A Memorable Life Event) in three different conditions {Mono Kannada (MK), Mono English (ME), and Bilingual (BIL) Condition}. The children and adults were assessed online (via Zoom session) with a high-quality internet connection. The audio and video samples of the full assessment session were auto-recorded and manually transcribed. The recorded samples were analyzed for the percentage of dysfluencies using SSI-4 and CM, and CS exhibited in each participant using Matrix Language Frame (MLF) model parameters. The obtained data were analyzed using the Statistical Package for the Social Sciences (SPSS) software package (Version 20.0). Results: The mean, median, and standard deviation values were obtained for the percentage of dysfluencies (%SS) and frequency of CM and CS in Kannada-English bilingual children and adults who stutter for various parameters obtained through the MLF model. The inferential results indicated that %SS significantly varied between population (AWS vs CWS), languages (L1 vs L2), and tasks (GC vs NAR) but not across free (BIL) and bound (MK, ME) conditions. It was also found that the frequency of CM and CS patterns varies between CWS and AWS. The AWS had a lesser %SS but greater use of CS patterns than CWS, which is due to their excessive coping skills. The language mixing patterns were more observed in L1 than L2, and it was significant in most of the MLF parameters. However, there was a significantly higher (P<0.05) %SS in L2 than L1. The CS and CS patterns were more in conditions 1 and 3 than 2, which may be due to the higher proficiency of L2 than L1. Conclusion: The findings highlight the importance of assessing the CM and CS behaviors, their patterns, and the frequency of CM and CS between CWS and AWS on MLF parameters in two different tasks across three conditions. The results help us to understand CM and CS strategies in bilingual persons who stutter. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bilinguals" title="bilinguals">bilinguals</a>, <a href="https://publications.waset.org/abstracts/search?q=code%20mixing" title=" code mixing"> code mixing</a>, <a href="https://publications.waset.org/abstracts/search?q=code%20switching" title=" code switching"> code switching</a>, <a href="https://publications.waset.org/abstracts/search?q=stuttering" title=" stuttering"> stuttering</a> </p> <a href="https://publications.waset.org/abstracts/145457/code-mixing-and-code-switching-patterns-in-kannada-english-bilingual-children-and-adults-who-stutter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145457.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">78</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">13</span> Phonological Processing and Its Role in Pseudo-Word Decoding in Children Learning to Read Kannada Language between 5.6 to 8.6 Years</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vangmayee.%20V.%20Subban">Vangmayee. V. Subban</a>, <a href="https://publications.waset.org/abstracts/search?q=Somashekara%20H.%20S"> Somashekara H. S</a>, <a href="https://publications.waset.org/abstracts/search?q=Shwetha%20Prabhu"> Shwetha Prabhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jayashree%20S.%20Bhat"> Jayashree S. Bhat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction and Need: Phonological processing is critical in learning to read alphabetical and non-alphabetical languages. However, its role in learning to read Kannada an alphasyllabary is equivocal. The literature has focused on the developmental role of phonological awareness on reading. To the best of authors knowledge, the role of phonological memory and phonological naming has not been addressed in alphasyllabary Kannada language. Therefore, there is a need to evaluate the comprehensive role of the phonological processing skills in Kannada on word decoding skills during the early years of schooling. Aim and Objectives: The present study aimed to explore the phonological processing abilities and their role in learning to decode pseudowords in children learning to read the Kannada language during initial years of formal schooling between 5.6 to 8.6 years. Method: In this cross sectional study, 60 typically developing Kannada speaking children, 20 each from Grade I, Grade II, and Grade III between the age range of 5.6 to 6.6 years, 6.7 to 7.6 years and 7.7 to 8.6 years respectively were selected from Kannada medium schools. Phonological processing abilities were assessed using an assessment tool specifically developed to address the objectives of the present research. The assessment tool was content validated by subject experts and had good inter and intra-subject reliability. Phonological awareness was assessed at syllable level using syllable segmentation, blending, and syllable stripping at initial, medial and final position. Phonological memory was assessed using pseudoword repetition task and phonological naming was assessed using rapid automatized naming of objects. Both phonological awareneness and phonological memory measures were scored for the accuracy of the response, whereas Rapid Automatized Naming (RAN) was scored for total naming speed. Results: The mean scores comparison using one-way ANOVA revealed a significant difference (p ≤ 0.05) between the groups on all the measures of phonological awareness, pseudoword repetition, rapid automatized naming, and pseudoword reading. Subsequent post-hoc grade wise comparison using Bonferroni test revealed significant differences (p ≤ 0.05) between each of the grades for all the tasks except (p ≥ 0.05) for syllable blending, syllable stripping, and pseudoword repetition between Grade II and Grade III. The Pearson correlations revealed a highly significant positive correlation (p=0.000) between all the variables except phonological naming which had significant negative correlations. However, the correlation co-efficient was higher for phonological awareness measures compared to others. Hence, phonological awareness was chosen a first independent variable to enter in the hierarchical regression equation followed by rapid automatized naming and finally, pseudoword repetition. The regression analysis revealed syllable awareness as a single most significant predictor of pseudoword reading by explaining the unique variance of 74% and there was no significant change in R² when RAN and pseudoword repetition were added subsequently to the regression equation. Conclusion: Present study concluded that syllable awareness matures completely by Grade II, whereas the phonological memory and phonological naming continue to develop beyond Grade III. Amongst phonological processing skills, phonological awareness, especially syllable awareness is crucial for word decoding than phonological memory and naming during initial years of schooling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=phonological%20awareness" title="phonological awareness">phonological awareness</a>, <a href="https://publications.waset.org/abstracts/search?q=phonological%20memory" title=" phonological memory"> phonological memory</a>, <a href="https://publications.waset.org/abstracts/search?q=phonological%20naming" title=" phonological naming"> phonological naming</a>, <a href="https://publications.waset.org/abstracts/search?q=phonological%20processing" title=" phonological processing"> phonological processing</a>, <a href="https://publications.waset.org/abstracts/search?q=pseudo-word%20decoding" title=" pseudo-word decoding"> pseudo-word decoding</a> </p> <a href="https://publications.waset.org/abstracts/101434/phonological-processing-and-its-role-in-pseudo-word-decoding-in-children-learning-to-read-kannada-language-between-56-to-86-years" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101434.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">175</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">12</span> Contribution of Word Decoding and Reading Fluency on Reading Comprehension in Young Typical Readers of Kannada Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vangmayee%20V.%20Subban">Vangmayee V. Subban</a>, <a href="https://publications.waset.org/abstracts/search?q=Suzan%20Deelan.%20Pinto"> Suzan Deelan. Pinto</a>, <a href="https://publications.waset.org/abstracts/search?q=Somashekara%20Haralakatta%20Shivananjappa"> Somashekara Haralakatta Shivananjappa</a>, <a href="https://publications.waset.org/abstracts/search?q=Shwetha%20Prabhu"> Shwetha Prabhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jayashree%20S.%20Bhat"> Jayashree S. Bhat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction and Need: During early years of schooling, the instruction in the schools mainly focus on children’s word decoding abilities. However, the skilled readers should master all the components of reading such as word decoding, reading fluency and comprehension. Nevertheless, the relationship between each component during the process of learning to read is less clear. The studies conducted in alphabetical languages have mixed opinion on relative contribution of word decoding and reading fluency on reading comprehension. However, the scenarios in alphasyllabary languages are unexplored. Aim and Objectives: The aim of the study was to explore the role of word decoding, reading fluency on reading comprehension abilities in children learning to read Kannada between the age ranges of 5.6 to 8.6 years. Method: In this cross sectional study, a total of 60 typically developing children, 20 each from Grade I, Grade II, Grade III maintaining equal gender ratio between the age range of 5.6 to 6.6 years, 6.7 to 7.6 years and 7.7 to 8.6 years respectively were selected from Kannada medium schools. The reading fluency and reading comprehension abilities of the children were assessed using Grade level passages selected from the Kannada text book of children core curriculum. All the passages consist of five questions to assess reading comprehension. The pseudoword decoding skills were assessed using 40 pseudowords with varying syllable length and their Akshara composition. Pseudowords are formed by interchanging the syllables within the meaningful word while maintaining the phonotactic constraints of Kannada language. The assessment material was subjected to content validation and reliability measures before collecting the data on the study samples. The data were collected individually, and reading fluency was assessed for words correctly read per minute. Pseudoword decoding was scored for the accuracy of reading. Results: The descriptive statistics indicated that the mean pseudoword reading, reading comprehension, words accurately read per minute increased with the Grades. The performance of Grade III children found to be higher, Grade I lower and Grade II remained intermediate of Grade III and Grade I. The trend indicated that reading skills gradually improve with the Grades. Pearson’s correlation co-efficient showed moderate and highly significant (p=0.00) positive co-relation between the variables, indicating the interdependency of all the three components required for reading. The hierarchical regression analysis revealed 37% variance in reading comprehension was explained by pseudoword decoding and was highly significant. Subsequent entry of reading fluency measure, there was no significant change in R-square and was only change 3%. Therefore, pseudoword-decoding evolved as a single most significant predictor of reading comprehension during early Grades of reading acquisition. Conclusion: The present study concludes that the pseudoword decoding skills contribute significantly to reading comprehension than reading fluency during initial years of schooling in children learning to read Kannada language. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alphasyllabary" title="alphasyllabary">alphasyllabary</a>, <a href="https://publications.waset.org/abstracts/search?q=pseudo-word%20decoding" title=" pseudo-word decoding"> pseudo-word decoding</a>, <a href="https://publications.waset.org/abstracts/search?q=reading%20comprehension" title=" reading comprehension"> reading comprehension</a>, <a href="https://publications.waset.org/abstracts/search?q=reading%20fluency" title=" reading fluency"> reading fluency</a> </p> <a href="https://publications.waset.org/abstracts/101467/contribution-of-word-decoding-and-reading-fluency-on-reading-comprehension-in-young-typical-readers-of-kannada-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101467.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">262</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">11</span> The Regional Novel in India: Its Emergence and Trajectory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aruna%20Bommareddi">Aruna Bommareddi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The journey of the novel is well examined in Indian academia as an offshoot of the novel in English. There have been many attempts to understand aspects of the early novel in India which shared a commonality with the English novel. The regional novel has had an entirely different trajectory which is mapped in the paper. The main focus of the paper would be to look at the historical emergence of the genre of the regional novel in Indian Literatures with specific reference to Kannada, Hindi, and Bengali. The selection of these languages is guided not only by familiarity with these languages as also based on the significance that these languages enjoy in the sub-continent and for the emergence of the regional novel as a specific category in these languages. The regional novels under study are Phaneeswaranath Renu’s Maila Anchal, Tarashankar Bandopadhyaya’s Ganadevata, and Kuvempu’s House of Kanuru for exploration of the themes of its emergence and some aspects of the regional novel common to and different from each other. The paper would explore the various movements that have shaped the genre regional novel in these Literatures. Though Phaneeswarnath Renu’s Maila Anchal is published in 1956, the novel is set in pre-Independent India and therefore shares a commonality of themes with the other two novels, House of Kanuru and Ganadevata. All three novels explore themes of superstition, ignorance, poverty, and the interventions of educated youth to salvage the crises in these backward regional worlds. In fact, it was Renu who assertively declared that he was going to write a regional novel and hence the tile of the first regional novel in Hindi is Maila Anchal meaning the soiled border. In Hindi, anchal also means the region therefore, the title is suggestive of a dirty region as well. The novel exposes the squalor, ignorance, and the conflict ridden life of the village or region as opposed to the rosy image of the village in literature. With this, all such novels which depicted conflicts of the region got recognized as regional novels even though they may have been written prior to Renu’s declaration. All three novels under study succeed in bringing out the complexity of rural life at a given point of time in its history. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bengali" title="bengali">bengali</a>, <a href="https://publications.waset.org/abstracts/search?q=hindi" title=" hindi"> hindi</a>, <a href="https://publications.waset.org/abstracts/search?q=kannada" title=" kannada"> kannada</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20novel" title=" regional novel"> regional novel</a>, <a href="https://publications.waset.org/abstracts/search?q=telugu" title=" telugu"> telugu</a> </p> <a href="https://publications.waset.org/abstracts/159641/the-regional-novel-in-india-its-emergence-and-trajectory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159641.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">79</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">10</span> Phonological Encoding and Working Memory in Kannada Speaking Adults Who Stutter</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nirmal%20Sugathan">Nirmal Sugathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Santosh%20Maruthy"> Santosh Maruthy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: A considerable number of studies have evidenced that phonological encoding (PE) and working memory (WM) skills operate differently in adults who stutter (AWS). In order to tap these skills, several paradigms have been employed such as phonological priming, phoneme monitoring, and nonword repetition tasks. This study, however, utilizes a word jumble paradigm to assess both PE and WM using different modalities and this may give a better understanding of phonological processing deficits in AWS. Aim: The present study investigated PE and WM abilities in conjunction with lexical access in AWS using jumbled words. The study also aimed at investigating the effect of increase in cognitive load on phonological processing in AWS by comparing the speech reaction time (SRT) and accuracy scores across various syllable lengths. Method: Participants were 11 AWS (Age range=19-26) and 11 adults who do not stutter (AWNS) (Age range=19-26) matched for age, gender and handedness. Stimuli: Ninety 3-, 4-, and 5-syllable jumbled words (JWs) (n=30 per syllable length category) constructed from Kannada words served as stimuli for jumbled word paradigm. In order to generate jumbled words (JWs), the syllables in the real words were randomly transpositioned. Procedures: To assess PE, the JWs were presently visually using DMDX software and for WM task, JWs were presented through auditory mode through headphones. The participants were asked to silently manipulate the jumbled words to form a Kannada real word and verbally respond once. The responses for both tasks were audio recorded using record function in DMDX software and the recorded responses were analyzed using PRAAT software to calculate the SRT. Results: SRT: Mann-Whitney test results demonstrated that AWS performed significantly slower on both tasks (p < 0.001) as indicated by increased SRT. Also, AWS presented with increased SRT on both the tasks in all syllable length conditions (p < 0.001). Effect of syllable length: Wilcoxon signed rank test was carried out revealed that, on task assessing PE, the SRT of 4syllable JWs were significantly higher in both AWS (Z= -2.93, p=.003) and AWNS (Z= -2.41, p=.003) when compared to 3-syllable words. However, the findings for 4- and 5-syllable words were not significant. Task Accuracy: The accuracy scores were calculated for three syllable length conditions for both PE and PM tasks and were compared across the groups using Mann-Whitney test. The results indicated that the accuracy scores of AWS were significantly below that of AWNS in all the three syllable conditions for both the tasks (p < 0.001). Conclusion: The above findings suggest that PE and WM skills are compromised in AWS as indicated by increased SRT. Also, AWS were progressively less accurate in descrambling JWs of increasing syllable length and this may be interpreted as, rather than existing as a uniform deficiency, PE and WM deficits emerge when the cognitive load is increased. AWNS exhibited increased SRT and increased accuracy for JWs of longer syllable length whereas AWS was not benefited from increasing the reaction time, thus AWS had to compromise for both SRT and accuracy while solving JWs of longer syllable length. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adults%20who%20stutter" title="adults who stutter">adults who stutter</a>, <a href="https://publications.waset.org/abstracts/search?q=phonological%20ability" title=" phonological ability"> phonological ability</a>, <a href="https://publications.waset.org/abstracts/search?q=working%20memory" title=" working memory"> working memory</a>, <a href="https://publications.waset.org/abstracts/search?q=encoding" title=" encoding"> encoding</a>, <a href="https://publications.waset.org/abstracts/search?q=jumbled%20words" title=" jumbled words"> jumbled words</a> </p> <a href="https://publications.waset.org/abstracts/99180/phonological-encoding-and-working-memory-in-kannada-speaking-adults-who-stutter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99180.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">240</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">9</span> Specific Language Impairment: Assessing Bilingual Children for Identifying Children with Specific Language Impairment (SLI)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manish%20Madappa">Manish Madappa</a>, <a href="https://publications.waset.org/abstracts/search?q=Madhavi%20Gayathri%20Raman"> Madhavi Gayathri Raman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary vehicle of human communication is language. A breakdown occurring in any aspect of communication may lead to frustration and isolation among the learners and the teachers. Over seven percent of the population in the world currently experience limitations and those children who exhibit a deviant/deficient language acquisition curve even when being in a language rich environment as their peers may be at risk of having a language disorder or language impairment. The difficulty may be in the word level [vocabulary/word knowledge] and/or the sentence level [syntax/morphology) Children with SLI appear to be developing normally in all aspects except for their receptive and/or expressive language skills. Thus, it is utmost importance to identify children with or at risk of SLI so that an early intervention can foster language and social growth, provide the best possible learning environment with special support for language to be explicitly taught and a step in providing continuous and ongoing support. The present study looks at Kannada English bilingual children and works towards identifying children at risk of “specific language impairment”. The study was conducted through an exploratory study which systematically enquired into the narratives of young Kannada-English bilinguals and to investigate the data for story structure in their narrative formulations. Oral narrative offers a rich source of data about a child’s language use in a relatively natural context. The fundamental objective is to ensure comparability and to be more universal and thus allows for the evaluation narrative text competence. The data was collected from 10 class three students at a primary school in Mysore, Karnataka and analyzed for macrostructure component reflecting the goal directed behavior of a protagonist who is motivated to carry out some kind of action with the intention of attaining a goal. The results show that the children exhibiting a deviation of -1.25 SD are at risk of SLI. Two learners were identified to be at risk of Specific Language Impairment with a standard deviation of more the 1.25 below the mean score. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bilingual" title="bilingual">bilingual</a>, <a href="https://publications.waset.org/abstracts/search?q=oral%20narratives" title=" oral narratives"> oral narratives</a>, <a href="https://publications.waset.org/abstracts/search?q=SLI" title=" SLI"> SLI</a>, <a href="https://publications.waset.org/abstracts/search?q=macrostructure" title=" macrostructure"> macrostructure</a> </p> <a href="https://publications.waset.org/abstracts/56764/specific-language-impairment-assessing-bilingual-children-for-identifying-children-with-specific-language-impairment-sli" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56764.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">288</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">8</span> Discovering Word-Class Deficits in Persons with Aphasia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yashaswini%20Channabasavegowda">Yashaswini Channabasavegowda</a>, <a href="https://publications.waset.org/abstracts/search?q=Hema%20Nagaraj"> Hema Nagaraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aim: The current study aims at discovering word-class deficits concerning the noun-verb ratio in confrontation naming, picture description, and picture-word matching tasks. A total of ten persons with aphasia (PWA) and ten age-matched neurotypical individuals (NTI) were recruited for the study. The research includes both behavioural and objective measures to assess the word class deficits in PWA. Objective: The main objective of the research is to identify word class deficits seen in persons with aphasia, using various speech eliciting tasks. Method: The study was conducted in the L1 of the participants, considered to be Kannada. Action naming test and Boston naming test adapted to the Kannada version are administered to the participants; also, a picture description task is carried out. Picture-word matching task was carried out using e-prime software (version 2) to measure the accuracy and reaction time with respect to identification verbs and nouns. The stimulus was presented through auditory and visual modes. Data were analysed to identify errors noticed in the naming of nouns versus verbs, with respect to the Boston naming test and action naming test and also usage of nouns and verbs in the picture description task. Reaction time and accuracy for picture-word matching were extracted from the software. Results: PWA showed a significant difference in sentence structure compared to age-matched NTI. Also, PWA showed impairment in syntactic measures in the picture description task, with fewer correct grammatical sentences and fewer correct usage of verbs and nouns, and they produced a greater proportion of nouns compared to verbs. PWA had poorer accuracy and lesser reaction time in the picture-word matching task compared to NTI, and accuracy was higher for nouns compared to verbs in PWA. The deficits were noticed irrespective of the cause leading to aphasia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nouns" title="nouns">nouns</a>, <a href="https://publications.waset.org/abstracts/search?q=verbs" title=" verbs"> verbs</a>, <a href="https://publications.waset.org/abstracts/search?q=aphasia" title=" aphasia"> aphasia</a>, <a href="https://publications.waset.org/abstracts/search?q=naming" title=" naming"> naming</a>, <a href="https://publications.waset.org/abstracts/search?q=description" title=" description"> description</a> </p> <a href="https://publications.waset.org/abstracts/149450/discovering-word-class-deficits-in-persons-with-aphasia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149450.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">102</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">7</span> Applicability of the Rapid Estimate of Adult Health Literacy in Medicine (Short Form) among Patients in Dakshina Kannada District, Karnataka, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=U.%20P.%20Rathnakar">U. P. Rathnakar</a>, <a href="https://publications.waset.org/abstracts/search?q=Medha%20Urval"> Medha Urval</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Ashok%20Shenoy"> K. Ashok Shenoy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: There are many tools available for the measurement of health literacy. REALM (Rapid Estimate of Adult Literacy in Medicine) is a very commonly used tool in advanced countries. It comes in two forms-one with 66 words and shorter version (REALM-SF) with seven words. We decided to test the applicability of shorter version of the REALM test among our patients. Methodology: REALM (SF) was tested among 200 patients in a tertiary hospital. Discussion and conclusion: From the analysis of results, when the results of pronunciation indicate adequate levels of HL skills, analysis of comprehension shows that mere reading skills is likely to be misleading. So it is proposed that in Indian population who have adequate reading skills without adequate comprehension the REALM-SF test tool in its present form may not be an ideal testing tool for assessing HL. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20literacy" title="health literacy">health literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=REALM" title=" REALM"> REALM</a>, <a href="https://publications.waset.org/abstracts/search?q=short%20form" title=" short form"> short form</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a> </p> <a href="https://publications.waset.org/abstracts/9818/applicability-of-the-rapid-estimate-of-adult-health-literacy-in-medicine-short-form-among-patients-in-dakshina-kannada-district-karnataka-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9818.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">468</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">6</span> Learn Better to Earn Better: Importance of CPD in Dentistry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Junaid%20Ahmed">Junaid Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Nandita%20Shenoy"> Nandita Shenoy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maintaining lifelong knowledge and skills is essential for safe clinical practice. Continuing Professional Development (CPD) is an established method that can facilitate lifelong learning. It focuses on maintaining or developing knowledge, skills and relationships to ensure competent practice.To date, relatively little has been done to comprehensively and systematically synthesize evidence to identify subjects of interest among practising dentist. Hence the aim of our study was to identify areas in clinical practice that would be favourable for continuing professional dental education amongst practicing dentists. Participants of this study consisted of the practicing dental surgeons of Mangalore, a city in Dakshina Kannada, Karnataka. 95% of our practitioners felt that regular updating as a one day program once in 3-6 months is required, to keep them abreast in clinical practice. 60% of subjects feel that CPD programs enrich their theoretical knowledge and helps in patient care. 27% of them felt that CPD programs should be related to general dentistry. Most of them felt that CPD programs should not be charged nominally between one to two thousand rupees. The acronym ‘CPD’ should be seen in a broader view in which professionals continuously enhance not only their knowledge and skills, but also their thinking,understanding and maturity; they grow not only as professionals, but also as persons; their development is not restricted to their work roles, but may also extend to new roles and responsibilities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=continuing%20professional%20development" title="continuing professional development">continuing professional development</a>, <a href="https://publications.waset.org/abstracts/search?q=competent%20practice" title=" competent practice"> competent practice</a>, <a href="https://publications.waset.org/abstracts/search?q=dental%20education" title=" dental education"> dental education</a>, <a href="https://publications.waset.org/abstracts/search?q=practising%20dentist" title=" practising dentist"> practising dentist</a> </p> <a href="https://publications.waset.org/abstracts/22241/learn-better-to-earn-better-importance-of-cpd-in-dentistry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22241.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">260</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">5</span> Online Handwritten Character Recognition for South Indian Scripts Using Support Vector Machines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Steffy%20Maria%20Joseph">Steffy Maria Joseph</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdu%20Rahiman%20V"> Abdu Rahiman V</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Hameed%20K.%20M."> Abdul Hameed K. M.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Online handwritten character recognition is a challenging field in Artificial Intelligence. The classification success rate of current techniques decreases when the dataset involves similarity and complexity in stroke styles, number of strokes and stroke characteristics variations. Malayalam is a complex south indian language spoken by about 35 million people especially in Kerala and Lakshadweep islands. In this paper, we consider the significant feature extraction for the similar stroke styles of Malayalam. This extracted feature set are suitable for the recognition of other handwritten south indian languages like Tamil, Telugu and Kannada. A classification scheme based on support vector machines (SVM) is proposed to improve the accuracy in classification and recognition of online malayalam handwritten characters. SVM Classifiers are the best for real world applications. The contribution of various features towards the accuracy in recognition is analysed. Performance for different kernels of SVM are also studied. A graphical user interface has developed for reading and displaying the character. Different writing styles are taken for each of the 44 alphabets. Various features are extracted and used for classification after the preprocessing of input data samples. Highest recognition accuracy of 97% is obtained experimentally at the best feature combination with polynomial kernel in SVM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SVM" title="SVM">SVM</a>, <a href="https://publications.waset.org/abstracts/search?q=matlab" title=" matlab"> matlab</a>, <a href="https://publications.waset.org/abstracts/search?q=malayalam" title=" malayalam"> malayalam</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Indian%20scripts" title=" South Indian scripts"> South Indian scripts</a>, <a href="https://publications.waset.org/abstracts/search?q=onlinehandwritten%20character%20recognition" title=" onlinehandwritten character recognition"> onlinehandwritten character recognition</a> </p> <a href="https://publications.waset.org/abstracts/30826/online-handwritten-character-recognition-for-south-indian-scripts-using-support-vector-machines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30826.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">574</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">4</span> Kannada HandWritten Character Recognition by Edge Hinge and Edge Distribution Techniques Using Manhatan and Minimum Distance Classifiers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20V.%20Aravinda">C. V. Aravinda</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20N.%20Prakash"> H. N. Prakash</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we tried to convey fusion and state of art pertaining to SIL character recognition systems. In the first step, the text is preprocessed and normalized to perform the text identification correctly. The second step involves extracting relevant and informative features. The third step implements the classification decision. The three stages which involved are Data acquisition and preprocessing, Feature extraction, and Classification. Here we concentrated on two techniques to obtain features, Feature Extraction & Feature Selection. Edge-hinge distribution is a feature that characterizes the changes in direction of a script stroke in handwritten text. The edge-hinge distribution is extracted by means of a windowpane that is slid over an edge-detected binary handwriting image. Whenever the mid pixel of the window is on, the two edge fragments (i.e. connected sequences of pixels) emerging from this mid pixel are measured. Their directions are measured and stored as pairs. A joint probability distribution is obtained from a large sample of such pairs. Despite continuous effort, handwriting identification remains a challenging issue, due to different approaches use different varieties of features, having different. Therefore, our study will focus on handwriting recognition based on feature selection to simplify features extracting task, optimize classification system complexity, reduce running time and improve the classification accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=word%20segmentation%20and%20recognition" title="word segmentation and recognition">word segmentation and recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=character%20recognition" title=" character recognition"> character recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20character%20recognition" title=" optical character recognition"> optical character recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=hand%20written%20character%20recognition" title=" hand written character recognition"> hand written character recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Indian%20languages" title=" South Indian languages"> South Indian languages</a> </p> <a href="https://publications.waset.org/abstracts/41271/kannada-handwritten-character-recognition-by-edge-hinge-and-edge-distribution-techniques-using-manhatan-and-minimum-distance-classifiers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41271.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">494</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">3</span> Assessment of Forest Above Ground Biomass Through Linear Modeling Technique Using SAR Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arjun%20G.%20Koppad">Arjun G. Koppad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was conducted in Joida taluk of Uttara Kannada district, Karnataka, India, to assess the land use land cover (LULC) and forest aboveground biomass using L band SAR data. The study area covered has dense, moderately dense, and sparse forests. The sampled area was 0.01 percent of the forest area with 30 sampling plots which were selected randomly. The point center quadrate (PCQ) method was used to select the tree and collected the tree growth parameters viz., tree height, diameter at breast height (DBH), and diameter at the tree base. The tree crown density was measured with a densitometer. Each sample plot biomass was estimated using the standard formula. In this study, the LULC classification was done using Freeman-Durden, Yamaghuchi and Pauli polarimetric decompositions. It was observed that the Freeman-Durden decomposition showed better LULC classification with an accuracy of 88 percent. An attempt was made to estimate the aboveground biomass using SAR backscatter. The ALOS-2 PALSAR-2 L-band data (HH, HV, VV &VH) fully polarimetric quad-pol SAR data was used. SAR backscatter-based regression model was implemented to retrieve forest aboveground biomass of the study area. Cross-polarization (HV) has shown a good correlation with forest above-ground biomass. The Multi Linear Regression analysis was done to estimate aboveground biomass of the natural forest areas of the Joida taluk. The different polarizations (HH &HV, VV &HH, HV & VH, VV&VH) combination of HH and HV polarization shows a good correlation with field and predicted biomass. The RMSE and value for HH & HV and HH & VV were 78 t/ha and 0.861, 81 t/ha and 0.853, respectively. Hence the model can be recommended for estimating AGB for the dense, moderately dense, and sparse forest. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forest" title="forest">forest</a>, <a href="https://publications.waset.org/abstracts/search?q=biomass" title=" biomass"> biomass</a>, <a href="https://publications.waset.org/abstracts/search?q=LULC" title=" LULC"> LULC</a>, <a href="https://publications.waset.org/abstracts/search?q=back%20scatter" title=" back scatter"> back scatter</a>, <a href="https://publications.waset.org/abstracts/search?q=SAR" title=" SAR"> SAR</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a> </p> <a href="https://publications.waset.org/abstracts/187535/assessment-of-forest-above-ground-biomass-through-linear-modeling-technique-using-sar-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187535.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">26</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">2</span> Verbal Working Memory in Sequential and Simultaneous Bilinguals: An Exploratory Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Archana%20Rao%20R.">Archana Rao R.</a>, <a href="https://publications.waset.org/abstracts/search?q=Deepak%20P."> Deepak P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Chayashree%20P.%20D."> Chayashree P. D.</a>, <a href="https://publications.waset.org/abstracts/search?q=Darshan%20H.%20S."> Darshan H. S.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cognitive abilities in bilinguals have been widely studied over the last few decades. Bilingualism has been found to extensively facilitate the ability to store and manipulate information in Working Memory (WM). The mechanism of WM includes primary memory, attentional control, and secondary memory, each of which makes a contribution to WM. Many researches have been done in an attempt to measure WM capabilities through both verbal (phonological) and nonverbal tasks (visuospatial). Since there is a lot of speculations regarding the relationship between WM and bilingualism, further investigation is required to understand the nature of WM in bilinguals, i.e., with respect to sequential and simultaneous bilinguals. Hence the present study aimed to highlight the verbal working memory abilities in sequential and simultaneous bilinguals with respect to the processing and recall abilities of nouns and verbs. Two groups of bilinguals aged between 18-30 years were considered for the study. Group 1 consisted of 20 (10 males and 10 females) sequential bilinguals who had acquired L1 (Kannada) before the age of 3 and had exposure to L2 (English) for a period of 8-10 years. Group 2 consisted of 20 (10 males and 10 females) simultaneous bilinguals who have acquired both L1 and L2 before the age of 3. Working memory abilities were assessed using two tasks, and a set of stimuli which was presented in gradation of complexity and the stimuli was inclusive of frequent and infrequent nouns and verbs. The tasks involved the participants to judge the correctness of the sentence and simultaneously remember the last word of each sentence and the participants are instructed to recall the words at the end of each set. The results indicated no significant difference between sequential and simultaneous bilinguals in processing the nouns and verbs, and this could be attributed to the proficiency level of the participants in L1 and the alike cognitive abilities between the groups. And recall of nouns was better compared to verbs, maybe because of the complex argument structure involved in verbs. Similarly, authors found a frequency of occurrence of nouns and verbs also had an effect on WM abilities. The difference was also found across gradation due to the load imposed on the central executive function and phonological loop. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bilinguals" title="bilinguals">bilinguals</a>, <a href="https://publications.waset.org/abstracts/search?q=nouns" title=" nouns"> nouns</a>, <a href="https://publications.waset.org/abstracts/search?q=verbs" title=" verbs"> verbs</a>, <a href="https://publications.waset.org/abstracts/search?q=working%20memory" title=" working memory"> working memory</a> </p> <a href="https://publications.waset.org/abstracts/101663/verbal-working-memory-in-sequential-and-simultaneous-bilinguals-an-exploratory-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101663.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">129</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">1</span> Speech and Swallowing Function after Tonsillo-Lingual Sulcus Resection with PMMC Flap Reconstruction: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Rhea%20Devaiah">K. Rhea Devaiah</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20S.%20Premalatha"> B. S. Premalatha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Tonsillar Lingual sulcus is the area between the tonsils and the base of the tongue. The surgical resection of the lesions in the head and neck results in changes in speech and swallowing functions. The severity of the speech and swallowing problem depends upon the site and extent of the lesion, types and extent of surgery and also the flexibility of the remaining structures. Need of the study: This paper focuses on the importance of speech and swallowing rehabilitation in an individual with the lesion in the Tonsillar Lingual Sulcus and post-operative functions. Aim: Evaluating the speech and swallow functions post-intensive speech and swallowing rehabilitation. The objectives are to evaluate the speech intelligibility and swallowing functions after intensive therapy and assess the quality of life. Method: The present study describes a report of an individual aged 47years male, with the diagnosis of basaloid squamous cell carcinoma, left tonsillar lingual sulcus (pT2n2M0) and underwent wide local excision with left radical neck dissection with PMMC flap reconstruction. Post-surgery the patient came with a complaint of reduced speech intelligibility, and difficulty in opening the mouth and swallowing. Detailed evaluation of the speech and swallowing functions were carried out such as OPME, articulation test, speech intelligibility, different phases of swallowing and trismus evaluation. Self-reported questionnaires such as SHI-E(Speech handicap Index- Indian English), DHI (Dysphagia handicap Index) and SESEQ -K (Self Evaluation of Swallowing Efficiency in Kannada) were also administered to know what the patient feels about his problem. Based on the evaluation, the patient was diagnosed with pharyngeal phase dysphagia associated with trismus and reduced speech intelligibility. Intensive speech and swallowing therapy was advised weekly twice for the duration of 1 hour. Results: Totally the patient attended 10 intensive speech and swallowing therapy sessions. Results indicated misarticulation of speech sounds such as lingua-palatal sounds. Mouth opening was restricted to one finger width with difficulty chewing, masticating, and swallowing the bolus. Intervention strategies included Oro motor exercise, Indirect swallowing therapy, usage of a trismus device to facilitate mouth opening, and change in the food consistency to help to swallow. A practice session was held with articulation drills to improve the production of speech sounds and also improve speech intelligibility. Significant changes in articulatory production and speech intelligibility and swallowing abilities were observed. The self-rated quality of life measures such as DHI, SHI and SESE Q-K revealed no speech handicap and near-normal swallowing ability indicating the improved QOL after the intensive speech and swallowing therapy. Conclusion: Speech and swallowing therapy post carcinoma in the tonsillar lingual sulcus is crucial as the tongue plays an important role in both speech and swallowing. The role of Speech-language and swallowing therapists in oral cancer should be highlighted in treating these patients and improving the overall quality of life. With intensive speech-language and swallowing therapy post-surgery for oral cancer, there can be a significant change in the speech outcome and swallowing functions depending on the site and extent of lesions which will thereby improve the individual’s QOL. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oral%20cancer" title="oral cancer">oral cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20and%20swallowing%20therapy" title=" speech and swallowing therapy"> speech and swallowing therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20intelligibility" title=" speech intelligibility"> speech intelligibility</a>, <a href="https://publications.waset.org/abstracts/search?q=trismus" title=" trismus"> trismus</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a> </p> <a href="https://publications.waset.org/abstracts/152166/speech-and-swallowing-function-after-tonsillo-lingual-sulcus-resection-with-pmmc-flap-reconstruction-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152166.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">112</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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