{"id":6933,"date":"2007-09-22T12:40:00","date_gmt":"2007-09-22T20:40:00","guid":{"rendered":"https:\/\/blogs.msdn.microsoft.com\/translation\/2007\/09\/22\/machine-translation-group-at-microsoft-research\/"},"modified":"2007-09-22T12:40:00","modified_gmt":"2007-09-22T20:40:00","slug":"machine-translation-group-at-microsoft-research","status":"publish","type":"post","link":"https://www.microsoft.com\/en-us\/translator/blog\/2007\/09\/22\/machine-translation-group-at-microsoft-research\/","title":{"rendered":"Machine Translation group at Microsoft Research"},"content":{"rendered":"<p><P>Microsoft Research\u2019s Machine Translation (MSR-MT) group has been among the leading research organizations in the machine translation space for over 8 years, and some of the foundational work in natural language processing at MSR began over 16 years ago. The team\u2019s approach to machine translation integrates linguistic features with state-of-the-art statistical machine translation algorithms. The team\u2019s focus has always been on automatically acquiring translation knowledge from bilingual corpora, i.e., parallel data consisting of original source language sentences and their corresponding translations by human translators. About 3 years ago, the team\u2019s focus shifted from a purely rule-based approach to this task toward a hybrid approach that includes extensive statistical processing, allowing for greater scalability across domains and into new languages. <\/P> <P>Microsoft\u2019s Machine Translation technology was first developed for in-house localization purposes, to <A href=\"http:\/\/support.microsoft.com\/gp\/faqtraduccion\">allow<\/A> our Customer Support organization to publish technical support documents with a frequency and language breadth that would have been prohibitively expensive using human translators.&nbsp; With all of Microsoft\u2019s previously human-translated documents and localized software at its disposal, the MT team was able automatically to train its statistical MT engine to achieve quite good quality in the technical domain.&nbsp; This technology was extended to support the Windows localization team, the Developer Division, MSDN, and several other groups within Microsoft. It has also allowed Microsoft to reach many more customers than would have ever been possible using human translation alone.<\/P> <P>After focusing on Microsoft\u2019s own translation needs, the team began to build a scalable web service that would allow it to provide translation services to the general public, as a <A href=\"http:\/\/www.microsofttranslator.com\/\" target=\"_blank\">standalone tool<\/A> on the web, and as a feature within other products.&nbsp; Given that the Microsoft MT engine has been trained most heavily on technical data, it has not yet been tuned for translating text in other subject domains.&nbsp; However, we hope to continue improving the quality and breadth of the engine. We look forward to sharing our developments with you over the coming months on this blog.<\/P> <P>&#8211; Heather<\/P> <H6>Heather Thorne is the Director of Business Strategy at the Microsoft Research Machine Translation group<\/H6><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft Research\u2019s Machine Translation (MSR-MT) group has been among the leading research organizations in the machine translation space for over 8 years, and some of the foundational work in natural language processing at MSR began over 16 years ago. The team\u2019s approach to machine translation integrates linguistic features with state-of-the-art statistical machine translation algorithms. The team\u2019s focus has always been<span class=\"read-more-ellipsis\">&#8230;.<\/span><\/p>\n <p class=\"c-paragraph-3 read-more-link\"><a class=\"c-call-to-action c-glyph f-lightweight\" href=\"https://www.microsoft.com\/en-us\/translator/blog\/2007\/09\/22\/machine-translation-group-at-microsoft-research\/\">CONTINUE READING <span class=\"x-screen-reader\">\"Machine Translation group at Microsoft Research\"<\/span><\/a><\/p>","protected":false},"author":54,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[13,5],"tags":[],"acf":[],"yoast_head":"<title>Machine Translation group at Microsoft Research - Microsoft Translator Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https://www.microsoft.com\/en-us\/translator/blog\/2007\/09\/22\/machine-translation-group-at-microsoft-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Translation group at Microsoft Research - Microsoft Translator Blog\" \/>\n<meta property=\"og:description\" content=\"Microsoft Research\u2019s Machine Translation (MSR-MT) group has been among the leading research organizations in the machine translation space for over 8 years, and some of the foundational work in natural language processing at MSR began over 16 years ago. The team\u2019s approach to machine translation integrates linguistic features with state-of-the-art statistical machine translation algorithms. 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