{"id":171345,"date":"2014-04-22T10:07:06","date_gmt":"2014-04-22T10:07:06","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/parser\/"},"modified":"2016-07-13T12:38:54","modified_gmt":"2016-07-13T19:38:54","slug":"parser","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/parser\/","title":{"rendered":"Parser"},"content":{"rendered":"<h2 class=\"asset-content\">Definition<\/h2>\n<div id=\"en-usprojectsparserdefault\" class=\"page-content\">\n<p align=\"justify\">The Arabic Parser determines the grammatical structure of Arabic sentences, such as which groups of words combine to form phrases and which words are the subject or the object of a verb. The Parser relies heavily on the Part-of-Speech (POS) Tagger to identify the correct part of speech for each word in an input sentence, and the Named-Entity Recognizer to identify named entities after it has been corrected using the Auto-Corrector.<\/p>\n<h2>Features<\/h2>\n<h3>Part-of-Speech disambiguation<\/h3>\n<p>The Parser relies on the\u00a0POS Tagger to resolve part-of-speech ambiguity.<\/p>\n<h3>Named entity detection<\/h3>\n<p>The Parser also detects named entities in an Arabic sentence.<\/p>\n<h3>Handling common Arabic mistakes<\/h3>\n<p>The Parser performs auto correction for common Arabic mistakes without further user effort.<\/p>\n<h2>APIs<\/h2>\n<ul>\n<li><strong>Parse<\/strong> parses a sentence and generates its parse tree<\/li>\n<li><strong>Suggest Parse Tree<\/strong> suggests a parse tree for a sentence with a wrong parse tree<\/li>\n<\/ul>\n<h2>\u00a0Example<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-213223\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/04\/parser_example.png\" alt=\"parser_example\" width=\"630\" height=\"331\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/04\/parser_example.png 973w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/04\/parser_example-300x158.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/04\/parser_example-768x403.png 768w\" sizes=\"auto, (max-width: 630px) 100vw, 630px\" \/><\/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 The Arabic Parser determines the grammatical structure of Arabic sentences, such as which groups of words combine to form phrases and which words are the subject or the object of a verb. The Parser relies heavily on the Part-of-Speech (POS) Tagger to identify the correct part of speech for each word in an input [&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-171345","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":"2014-04-22","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\/171345","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":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171345\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171345"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171345"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171345"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171345"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}