{"id":149653,"date":"2002-01-01T00:00:00","date_gmt":"2002-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/bootstrapping-a-multilingual-part-of-speech-tagger-in-one-person-day\/"},"modified":"2018-10-16T21:25:26","modified_gmt":"2018-10-17T04:25:26","slug":"bootstrapping-a-multilingual-part-of-speech-tagger-in-one-person-day","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/bootstrapping-a-multilingual-part-of-speech-tagger-in-one-person-day\/","title":{"rendered":"Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day"},"content":{"rendered":"\n\n\n<p class=\"wp-block-paragraph\">This paper presents a method for bootstrapping a fine-grained, broad-coverage part-of-speech (POS) tagger in a new language using only one person-day of data acquisition effort. It requires only three resources, which are currently readily available in 60-100 world languages: (1) an online or hard-copy pocket-sized bilingual dictionary, (2) a basic library reference grammar, and (3) access to an existing monolingual text corpus in the language. The algorithm begins by inducing initial lexical POS distributions from English translations in a bilingual dictionary without POS tags. It handles irregular, regular and semi-regular morphology through a robust generative model using weighted Levenshtein alignments. Unsupervised induction of grammatical gender is performed via global modeling of context-window feature agreement. Using a combination of these and other evidence sources, interactive training of context and lexical prior models are accomplished for fine-grained POS tag spaces. Experiments show high accuracy, fine-grained tag resolution with minimal new human effort.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents a method for bootstrapping a fine-grained, broad-coverage part-of-speech (POS) tagger in a new language using only one person-day of data acquisition effort. It requires only three resources, which are currently readily available in 60-100 world languages: (1) an online or hard-copy pocket-sized bilingual dictionary, (2) a basic library reference grammar, and (3) [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"silviu","user_id":"33661"},{"type":"text","value":"David Yarowsky","user_id":0}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"132\u2013138","msr_page_range_start":"132","msr_page_range_end":"138","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of CoNLL 2002","msr_doi":"10.3115\/1118853.1118859","msr_arxiv_id":"","msr_mag_id":"","msr_other_authors":"S. 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