{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/building-a-kannada-pos-tagger-using-machine","title":"Building a Kannada POS Tagger Using Machine Learning and Neural Network Models","arxiv_id":"1808.03175","date":"2018-08-09","proceeding":null,"authors":["Ketan Kumar Todi","Pruthwik Mishra","Dipti Misra Sharma"],"abstract":"POS Tagging serves as a preliminary task for many NLP applications. Kannada\nis a relatively poor Indian language with very limited number of quality NLP\ntools available for use. An accurate and reliable POS Tagger is essential for\nmany NLP tasks like shallow parsing, dependency parsing, sentiment analysis,\nnamed entity recognition. We present a statistical POS tagger for Kannada using\ndifferent machine learning and neural network models. Our Kannada POS tagger\noutperforms the state-of-the-art Kannada POS tagger by 6%. Our contribution in\nthis paper is three folds - building a generic POS Tagger, comparing the\nperformances of different modeling techniques, exploring the use of character\nand word embeddings together for Kannada POS Tagging.","url_abs":"http://arxiv.org/abs/1808.03175v1","url_pdf":"http://arxiv.org/pdf/1808.03175v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"building-a-kannada-pos-tagger-using-machine","repo_url":"https://github.com/Pruthwik/Training-POS-Chunk-Tagger-Using-BILSTM","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"building-a-kannada-pos-tagger-using-machine","repo_url":"https://github.com/Pruthwik/CRF-Based-Kannada-POS-Tagger","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"pos","task_name":"POS"},{"task_slug":"pos-tagging","task_name":"POS Tagging"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[{"method_slug":"crf","method_name":"CRF"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"seq2seq","method_name":"Seq2Seq"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.03175","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}