Search results for: TiBERT

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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> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: TiBERT</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> The Advancements of Transformer Models in Part-of-Speech Tagging System for Low-Resource Tigrinya Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shamm%20Kidane">Shamm Kidane</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Abdella"> Ibrahim Abdella</a>, <a href="https://publications.waset.org/abstracts/search?q=Fitsum%20Gaim"> Fitsum Gaim</a>, <a href="https://publications.waset.org/abstracts/search?q=Simon%20Mulugeta"> Simon Mulugeta</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirak%20Asmerom"> Sirak Asmerom</a>, <a href="https://publications.waset.org/abstracts/search?q=Natnael%20Ambasager"> Natnael Ambasager</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoel%20Ghebrihiwot"> Yoel Ghebrihiwot</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The call for natural language processing (NLP) systems for low-resource languages has become more apparent than ever in the past few years, with the arduous challenges still present in preparing such systems. This paper presents an improved dataset version of the Nagaoka Tigrinya Corpus for Parts-of-Speech (POS) classification system in the Tigrinya language. The size of the initial Nagaoka dataset was incremented, totaling the new tagged corpus to 118K tokens, which comprised the 12 basic POS annotations used previously. The additional content was also annotated manually in a stringent manner, followed similar rules to the former dataset and was formatted in CONLL format. The system made use of the novel approach in NLP tasks and use of the monolingually pre-trained TiELECTRA, TiBERT and TiRoBERTa transformer models. The highest achieved score is an impressive weighted F1-score of 94.2%, which surpassed the previous systems by a significant measure. The system will prove useful in the progress of NLP-related tasks for Tigrinya and similarly related low-resource languages with room for cross-referencing higher-resource languages. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tigrinya%20POS%20corpus" title="Tigrinya POS corpus">Tigrinya POS corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=TiBERT" title=" TiBERT"> TiBERT</a>, <a href="https://publications.waset.org/abstracts/search?q=TiRoBERTa" title=" TiRoBERTa"> TiRoBERTa</a>, <a href="https://publications.waset.org/abstracts/search?q=conditional%20random%20fields" title=" conditional random fields"> conditional random fields</a> </p> <a href="https://publications.waset.org/abstracts/177822/the-advancements-of-transformer-models-in-part-of-speech-tagging-system-for-low-resource-tigrinya-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177822.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">114</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> Named Entity Recognition System for Tigrinya Language</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sham%20Kidane">Sham Kidane</a>, <a href="https://publications.waset.org/abstracts/search?q=Fitsum%20Gaim"> Fitsum Gaim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Abdella"> Ibrahim Abdella</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirak%20Asmerom"> Sirak Asmerom</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoel%20Ghebrihiwot"> Yoel Ghebrihiwot</a>, <a href="https://publications.waset.org/abstracts/search?q=Simon%20Mulugeta"> Simon Mulugeta</a>, <a href="https://publications.waset.org/abstracts/search?q=Natnael%20Ambassager"> Natnael Ambassager</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The lack of annotated datasets is a bottleneck to the progress of NLP in low-resourced languages. The work presented here consists of large-scale annotated datasets and models for the named entity recognition (NER) system for the Tigrinya language. Our manually constructed corpus comprises over 340K words tagged for NER, with over 118K of the tokens also having parts-of-speech (POS) tags, annotated with 12 distinct classes of entities, represented using several types of tagging schemes. We conducted extensive experiments covering convolutional neural networks and transformer models; the highest performance achieved is 88.8% weighted F1-score. These results are especially noteworthy given the unique challenges posed by Tigrinya鈥檚 distinct grammatical structure and complex word morphologies. The system can be an essential building block for the advancement of NLP systems in Tigrinya and other related low-resourced languages and serve as a bridge for cross-referencing against higher-resourced languages. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tigrinya%20NER%20corpus" title="Tigrinya NER corpus">Tigrinya NER corpus</a>, <a href="https://publications.waset.org/abstracts/search?q=TiBERT" title=" TiBERT"> TiBERT</a>, <a href="https://publications.waset.org/abstracts/search?q=TiRoBERTa" title=" TiRoBERTa"> TiRoBERTa</a>, <a href="https://publications.waset.org/abstracts/search?q=BiLSTM-CRF" title=" BiLSTM-CRF"> BiLSTM-CRF</a> </p> <a href="https://publications.waset.org/abstracts/177845/named-entity-recognition-system-for-tigrinya-language" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177845.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">143</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 anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2025 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); 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Search results for: TiBERT