{"id":170937,"date":"2012-04-04T11:53:33","date_gmt":"2012-04-04T11:53:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/msr-splat\/"},"modified":"2019-08-19T14:59:41","modified_gmt":"2019-08-19T21:59:41","slug":"msr-splat","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/msr-splat\/","title":{"rendered":"MSR SPLAT"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-176169 alignleft\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/msr-splat.png\" alt=\"MSR SPLAT\" width=\"170\" height=\"64\" \/>Statistical Parsing and Linguistic Analysis Toolkit is a linguistic analysis toolkit. Its main goal is to allow easy access to the linguistic analysis tools produced by the Natural Language Processing group at Microsoft Research.<\/p>\n<p>The tools include both traditional linguistic analysis tools such as part-of-speech taggers and parsers, and more recent developments, such as sentiment analysis (identifying whether a particular of text has positive or negative sentiment towards its focus)<\/p>\n<h3>Demo URL:<\/h3>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/msrsplatdemo.cloudapp.net\/\">You can find the Demo here<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n<h3>Service URL:<\/h3>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/msrsplat.cloudapp.net\/SplatServiceJson.svc\">RESTful Service Endpoint<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/msrsplat.cloudapp.net\/SplatService.svc\">WCF Service Endpoint<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n<blockquote><p>Note: the above service requires you to specify a unique access key. Please <a href=\"mailto:chrisq%40microsoft.com?subject=SPLAT access key\" target=\"_self\" rel=\"noopener noreferrer\">email us<\/a> for a key!<\/p><\/blockquote>\n<h3>Contacts:<\/h3>\n<ul>\n<li><a href=\"mailto:chrisq@microsoft.com\">Chris Quirk<\/a><\/li>\n<li><a href=\"mailto:lucyv@microsoft.com\">Lucy Vanderwende<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Statistical Parsing and Linguistic Analysis Toolkit is a linguistic analysis toolkit. Its main goal is to allow easy access to the linguistic analysis tools produced by the Natural Language Processing group at Microsoft Research. The tools include both traditional linguistic analysis tools such as part-of-speech taggers and parsers, and more recent developments, such as sentiment [&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-170937","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":"2012-04-04","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":"Chris Quirk","user_id":31430,"people_section":"Group 1","alias":"chrisq"},{"type":"user_nicename","display_name":"Jianfeng Gao","user_id":32246,"people_section":"Group 1","alias":"jfgao"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170937","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":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170937\/revisions"}],"predecessor-version":[{"id":604341,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170937\/revisions\/604341"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=170937"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=170937"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=170937"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=170937"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=170937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}