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Exploring the Potential of Large Language Models (LLMs) for Low-resource Languages: A Study on Named-Entity Recognition (NER) and Part-Of-Speech (POS) Tagging for Nepali Language.

, , , и . LREC/COLING, стр. 6974-6979. ELRA and ICCL, (2024)

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Другие публикации лиц с тем же именем

Towards Building Annotated Resources for Analyzing Opinions and Argumentation in News Editorials., и . LREC, European Language Resources Association, (2010)Issues in Encoding the Writing of Nepal's Languages., , , и . CICLing (1), том 8403 из Lecture Notes in Computer Science, стр. 52-67. Springer, (2014)Aspect Based Abusive Sentiment Detection in Nepali Social Media Texts., , , и . ASONAM, стр. 301-308. IEEE, (2020)Trust issues in the e-government implementation in Nepal., , и . ICEGOV, стр. 524-525. ACM, (2012)Improving Nepali OCR performance by using hybrid recognition approaches., и . IISA, стр. 1-6. IEEE, (2016)Large Vocabulary Continous Speech Recognition for Nepali Language using CNN and Transformer., , и . LDK, стр. 328-333. NOVA CLUNL, Portugal, (2023)Towards Building Advanced Natural Language Applications - An Overview of the Existing Primary Resources and Applications in Nepali.. ALR7@IJCNLP, стр. 165-170. Association for Computational Linguistics, (2009)An End-to-End Speech Recognition for the Nepali Language., и . ICON, стр. 180-185. NLP Association of India (NLPAI), (2021)Classifying sentiments in Nepali subjective texts., и . IISA, стр. 1-6. IEEE, (2016)Towards an Analysis of Opinions in News Editorials: How positive was the year? (project abstract).. IWCS, стр. 260-263. Association for Computational Linguistics, (2009)