{"id":171276,"date":"2014-01-29T05:16:22","date_gmt":"2014-01-29T13:16:22","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/part-of-speech-pos-tagger\/"},"modified":"2017-06-02T10:24:23","modified_gmt":"2017-06-02T17:24:23","slug":"part-of-speech-pos-tagger","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/part-of-speech-pos-tagger\/","title":{"rendered":"Part of Speech Tagger"},"content":{"rendered":"<h2 class=\"asset-content\"><!-- .asset-content -->Definition<\/h2>\n<p class=\"asset-content\">POS Tagger identifies the correct part of speech. It resolves the ambiguity on both the stem and the case-ending levels.<\/p>\n<h2 class=\"asset-content\">Features<\/h2>\n<div id=\"en-usprojectspart-of-speech-taggerdefault\" class=\"page-content\">\n<h3>Detailed tag set<\/h3>\n<p>POS Tagger has a detailed tag set consisting of more than 3,000 tags, which reflects the most important features of each word.<\/p>\n<h3>Stem level disambiguation<\/h3>\n<p>POS Tagger solves the stem level ambiguity of most Arabic words by selecting the best analysis that matches each word, based on its context.<\/p>\n<h3>Case-ending disambiguation<\/h3>\n<p>The POS Tagger also selects a suitable case-ending value among a variety of possibilities\u2014nominative, accusative, genitive, indicative, subjunctive, jussive\u2014along with the nunation.<\/p>\n<h3>Handling common Arabic mistakes<\/h3>\n<p>The POS Tagger makes automatic correction for common Arabic mistakes without further user effort.<\/p>\n<h2>API<\/h2>\n<ul>\n<li><strong>Tag Text <\/strong>to tag input text with the corresponding part of speech with an option to automatically correct this input text before tagging.<\/li>\n<\/ul>\n<h2>Example<\/h2>\n<p><span id=\"02b073cd-ff8c-43ea-ad00-31bcaddf6967\" class=\"ImageBlock fn\"><img decoding=\"async\" id=\"Image02b073cd-ff8c-43ea-ad00-31bcaddf6967\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/atks-partofspeechtagger-example.png\" alt=\"\" \/><span id=\"ImageCaption02b073cd-ff8c-43ea-ad00-31bcaddf6967\" class=\"ImageCaptionCoreCss ImageCaption\"><\/span><\/span><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/arabic-toolkit-service-atks\/\">back to ATKS<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Definition POS Tagger identifies the correct part of speech. It resolves the ambiguity on both the stem and the case-ending levels. Features Detailed tag set POS Tagger has a detailed tag set consisting of more than 3,000 tags, which reflects the most important features of each word. Stem level disambiguation POS Tagger solves the stem [&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":"","footnotes":""},"research-area":[13545],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171276","msr-project","type-msr-project","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2014-01-29","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171276","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171276\/revisions"}],"predecessor-version":[{"id":388325,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171276\/revisions\/388325"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171276"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171276"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171276"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171276"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}