{"id":171251,"date":"2013-12-12T02:06:36","date_gmt":"2013-12-12T02:06:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/arabic-toolkit-service-atks\/"},"modified":"2018-09-27T05:50:16","modified_gmt":"2018-09-27T12:50:16","slug":"arabic-toolkit-service-atks","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/arabic-toolkit-service-atks\/","title":{"rendered":"Arabic Toolkit Service (ATKS)"},"content":{"rendered":"<h1><em><strong>Important Notice: The Service will be deprecated by September, 30th 2018.<\/strong><\/em><\/h1>\n<p class=\"asset-content\">Natural Language Processing (NLP) is a foundational infrastructure for processing written text. This processing revolves around text analysis and understanding.\u00a0NLP\u00a0serves a multitude of sophisticated tasks such as Text Search, Document Management, Automatic Translation, Proofreading, Text Summarization and many more. The <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/advanced-technology-lab-cairo-2\/\">Advanced Technology Lab in Cairo<\/a> has developed the Arabic Toolkit Service (ATKS) as a set of NLP components targeting Arabic language.<\/p>\n<h3>ATKS Components<\/h3>\n<p>The\u00a0component suite includes a full-fledged morphological analyzer (SARF), a spell-checker, an auto corrector, a diacritizer, a named entity recognizer (NER), a colloquial to Arabic converter, and a part-of-speech (POS) tagger. These components\u00a0are integrated into multiple Microsoft products and services, such as Windows, Office, Bing, Exchange, SharePoint, and Windows Phone. The\u00a0ATKS avails these components in the form of web services and associated APIs hosted on Windows Azure.<\/p>\n<p align=\"left\">The Arabic Toolkit Service (ATKS) facilitates advanced research in Arabic NLP technologies by providing quality and reliable foundational components.<\/p>\n<div id=\"en-usprojectsatksdefault\" class=\"page-content\">\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/colloquial-to-arabic-converter\/\">Colloquial to Arabic Converter<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/diacritizer\/\">Diacritizer<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/named-entity-recognizer-ner\/\">Named Entity Recognizer (NER)<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/parser\/\">Parser<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/part-of-speech-pos-tagger\/\">Part of Speech Tagger<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/sarf-morphological-analyzer\/\">SARF (morphological analyzer)<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/speller\/\">Speller<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/transliterator\/\">Transliterator<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Important Notice: The Service will be deprecated by September, 30th 2018. Natural Language Processing (NLP) is a foundational infrastructure for processing written text. This processing revolves around text analysis and understanding.\u00a0NLP\u00a0serves a multitude of sophisticated tasks such as Text Search, Document Management, Automatic Translation, Proofreading, Text Summarization and many more. The Advanced Technology Lab in [&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":[13556,13545],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171251","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2013-12-12","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Achraf Chalabi","user_id":30809,"people_section":"Group 1","alias":"achalabi"},{"type":"user_nicename","display_name":"Michel Naim Gerguis","user_id":32889,"people_section":"Group 1","alias":"mgerguis"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171251","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":11,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171251\/revisions"}],"predecessor-version":[{"id":507995,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171251\/revisions\/507995"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171251"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171251"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171251"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171251"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}