{"id":468801,"date":"2018-02-23T07:43:53","date_gmt":"2018-02-23T15:43:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=468801"},"modified":"2018-10-16T22:34:58","modified_gmt":"2018-10-17T05:34:58","slug":"nematus-toolkit-neural-machine-translation","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/nematus-toolkit-neural-machine-translation\/","title":{"rendered":"Nematus: a Toolkit for Neural Machine Translation"},"content":{"rendered":"

We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performing submissions to shared translation tasks at WMT and IWSLT, and has been used to train systems for production environments.<\/p>\n","protected":false},"excerpt":{"rendered":"

We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performing submissions to shared translation tasks at WMT and IWSLT, and has been used to train systems for production environments.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193726],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-468801","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2017-03-13","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"arXiv:1703.04357","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"https:\/\/arxiv.org\/abs\/1703.04357","msr_doi":"","msr_publication_uploader":[{"type":"url","title":"https:\/\/arxiv.org\/abs\/1703.04357","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"https:\/\/arxiv.org\/abs\/1703.04357"}],"msr-author-ordering":[{"type":"text","value":"Rico Sennrich","user_id":0,"rest_url":false},{"type":"text","value":"Orhan Firat","user_id":0,"rest_url":false},{"type":"text","value":"Kyunghyun Cho","user_id":0,"rest_url":false},{"type":"text","value":"Alexandra Birch","user_id":0,"rest_url":false},{"type":"text","value":"Barry Haddow","user_id":0,"rest_url":false},{"type":"text","value":"Julian Hitschler","user_id":0,"rest_url":false},{"type":"user_nicename","value":"marcinjd","user_id":37290,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=marcinjd"},{"type":"text","value":"Samuel Laubli","user_id":0,"rest_url":false},{"type":"text","value":"Antonio Valerio Miceli Barone","user_id":0,"rest_url":false},{"type":"text","value":"Jozef Mokry","user_id":0,"rest_url":false},{"type":"text","value":"Maria 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