Results 31 to 40 of about 1,394,786 (278)

Corpus Applications in ELT in Colombia: An Exploratory Survey

open access: yesProfile: Issues in Teachers' Professional Development
This study examines the application of corpus linguistics in English language teaching (ELT) in Colombia, where its practical adoption remains limited compared to many developed countries.
Rodrigo A. Rodríguez-Fuentes   +1 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

An individual subjectivist critique of the use of corpus linguistics to inform pedagogical materials

open access: yesDialogic Pedagogy, 2016
Corpus linguistics, or the gathering together of language into a body for analysis and development of materials, is claimed to be an assured, established method (or field) that valuably informs pedagogical materials and knowledge of language (e.g.
Kendall Richards, Nick Pilcher
doaj   +1 more source

Representation of refugees and asylum seekers in UK newspapers: Towards a corpus-based analysis. [PDF]

open access: yes, 2006
This paper reports work on an ongoing project on the representation of refugees and asylum seekers in the UK press. In recent years, the issue of refugees and asylum seekers entering the UK has has attracted intense media and political discussion. As the
Gabrielatos, Costas, Baker, Paul
core   +3 more sources

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Corpus Linguistics & Language Learning. Focus on innovation.

open access: yes, 2021
This plenary talk addresses the value of corpus linguistics for language learning, with a specific focus on ...
Meunier, Fanny   +1 more
core  

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin   +4 more
wiley   +1 more source

Corpus Linguistics</a> </p><span class="r_subtitle"><img src="/img/openaccess.ico" alt="open access: yes" title="open access: yes" width="16" height="16"><i>DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada</i>, 2012 </span><br><span class="r_sub"><i>Camilo Enrique Diaz Romero</i></span><br><small><a href="https://doaj.org/article/7d467b4a1535422a829f6e84d4ffc214" target="_blank" rel="nofollow" title="doaj.org/article/7d467b4a1535422a829f6e84d4ffc214">doaj</a> </small>   <div id="more_8" style="display:none"><a href="https://doaj.org/article/27aed99d735742f5b4e3c289fda0c56f" target="_blank" rel="nofollow" title="doaj.org/article/27aed99d735742f5b4e3c289fda0c56f">doaj.org</a><br> <a href="https://explore.openaire.eu/search/publication?articleId=dedup_wf_002%3A%3A5a1d3587dc489daf5997cafc704c88c5" target="_blank" rel="nofollow" title="openaire.eu/search/publication?articleId=dedup_wf_002%3A%3A5a1d3587dc489daf5997cafc704c88c5">openaire.eu</a><br></div><small><a href="#" onClick="return toggle_div(this, 'more_8')">+2 more sources</a></small><br></div><div class="r"><p class="r_title"><a href="https://doi.org/10.1002/aisy.202400429" target="_blank" rel="nofollow">Large Language Model‐Based Chatbots in Higher Education</a> </p><span class="r_subtitle"><img src="/img/openaccess.ico" alt="open access: yes" title="open access: yes" width="16" height="16"><i>Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.</i></span><br><span class="r_content">The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation </span><br><span class="r_sub"><i>Defne Yigci<span id="ma_9" style="display:none">, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan</span>   <small><a href="#" style="color:#808080;" onClick="return toggle_div(this, 'ma_9')">+4 more</a></small></i></span><br><small><a href="https://onlinelibrary.wiley.com/doi/10.1002/aisy.202400429?mi=2or9o2m&af=R&AllField=corpus linguistics&ConceptID=15941&content=articlesChapters&target=default" target="_blank" rel="nofollow" title="wiley.com/doi/10.1002/aisy.202400429?mi=2or9o2m&af=R&AllField=corpus linguistics&ConceptID=15941&content=articlesChapters&target=default">wiley</a> </small>   <div id="more_9" style="display:none"><a href="/sci_redir.php?doi=10.1002%2Faisy.202400429" target="_blank" rel="nofollow">openaccessbutton.org (pdf)</a><br><a href="javascript:navigator.clipboard.writeText('10.1002/aisy.202400429'); alert('Copied the doi');">copy doi</a> <small>(10.1002/aisy.202400429)</small><br></div><small><a href="#" onClick="return toggle_div(this, 'more_9')">+1 more source</a></small><br></div><div class="r"><p class="r_title"><a href="https://doi.org/10.1002/aisy.70520" target="_blank" rel="nofollow">A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation</a> </p><span class="r_subtitle"><img src="/img/openaccess.ico" alt="open access: yes" title="open access: yes" width="16" height="16"><i>Advanced Intelligent Systems, EarlyView.</i></span><br><span class="r_content">A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.</span><br><span class="r_sub"><i>Di Wang<span id="ma_10" style="display:none">, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu</span>   <small><a href="#" style="color:#808080;" onClick="return toggle_div(this, 'ma_10')">+4 more</a></small></i></span><br><small><a href="https://onlinelibrary.wiley.com/doi/10.1002/aisy.70520?mi=2or9o2m&af=R&AllField=corpus linguistics&ConceptID=15941&content=articlesChapters&target=default" target="_blank" rel="nofollow" title="wiley.com/doi/10.1002/aisy.70520?mi=2or9o2m&af=R&AllField=corpus linguistics&ConceptID=15941&content=articlesChapters&target=default">wiley</a> </small>   <div id="more_10" style="display:none"><a href="/sci_redir.php?doi=10.1002%2Faisy.70520" target="_blank" rel="nofollow">openaccessbutton.org (pdf)</a><br><a href="javascript:navigator.clipboard.writeText('10.1002/aisy.70520'); alert('Copied the doi');">copy doi</a> <small>(10.1002/aisy.70520)</small><br></div><small><a href="#" onClick="return toggle_div(this, 'more_10')">+1 more source</a></small><br></div><div class="r"><div style="margin-bottom:2px;overflow:hidden"><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"><a href="/q-linguistics/" class="suggestion"onclick="show_loader();"><b>linguistics</b></a><br/><a href="/q-philology/" class="suggestion"onclick="show_loader();"><b>philology</b></a><br/><a href="/q-computational_linguistics/" class="suggestion"onclick="show_loader();"><b>computational linguistics</b></a><br/></div><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"><a href="/q-natural_language_processing/" class="suggestion"onclick="show_loader();"><b>natural language processing</b></a><br/><a href="/q-corpus/" class="suggestion"onclick="show_loader();"><b>corpus</b></a><br/><a href="/q-digital_humanities/" class="suggestion"onclick="show_loader();"><b>digital humanities</b></a><br/></div><div style="display: inline-block; float: left; font-size: small; padding-right: 16px; margin-top: -1px; padding-bottom: 1px;"></div></div></div><div class="pagenav"><a href="/q-corpus_linguistics/p-3/" rel="nofollow"><b>previous</b></a>   <a href="/q-corpus_linguistics/p-2/" rel="nofollow">2</a>  <a href="/q-corpus_linguistics/p-3/" rel="nofollow">3</a>  <b>4</b>  <a href="/q-corpus_linguistics/p-5/" rel="nofollow">5</a>  <a href="/q-corpus_linguistics/p-6/" rel="nofollow">6</a>   <a href="/q-corpus_linguistics/p-5/" id="next" rel="nofollow"><b>next</b></a> </div><br></div> </div> <script>document.getElementById('loadingGif').style.display='none';</script><div style="width: 100%; height: 40px; bottom: 0px; background-color: #f5f5f5;"><div style="padding-left: 15px; padding-top: 10px"> <a href="/" rel="nofollow">Home</a> - <a href="/page-about/" rel="nofollow">About</a> - <a href="/page-disclaimer/" rel="nofollow">Disclaimer</a> - <a href="/page-privacy/" rel="nofollow">Privacy</a> </div></div> <link rel="stylesheet" href="//ajax.googleapis.com/ajax/libs/jqueryui/1.11.4/themes/smoothness/jquery-ui.min.css"/> <script> (function(ss,ex){ window.ldfdr=window.ldfdr||function(){(ldfdr._q=ldfdr._q||[]).push([].slice.call(arguments));}; (function(d,s){ fs=d.getElementsByTagName(s)[0]; function ce(src){ var cs=d.createElement(s); cs.src=src; cs.async=1; fs.parentNode.insertBefore(cs,fs); }; ce('https://sc.lfeeder.com/lftracker_v1_'+ss+(ex?'_'+ex:'')+'.js'); })(document,'script'); })('JMvZ8gvrWA9a2pOd'); </script> </body> </html>