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The Commercial track presents industry-focused work on evolving MT use cases such as Internet search, pseudolocalization, and knowledge base translation, with themes including post-editing effectiveness, adaptive MT based on user feedback, quality assessment metrics, MT acceptance, engine development for less common languages, TM–MT integration, and speech translation. Contents list papers with page ranges across both tracks.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/commercial-mt-users-and-translators-track-part-1-proceedings/380623/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/commercial-mt-users-and-translators-track-part-1-proceedings/380623.png","ImageObject",442,249,{"name":88,"@type":89},"anakgang17","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-19","2026-09-24",true,{"@type":98,"interactionType":99,"userInteractionCount":47},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What does the Commercial MT Users and Translators Track at AMTA 2016 focus on?","Question",{"text":108,"@type":109},"It focuses on machine translation applications beyond traditional post-editing, including Internet search, pseudolocalization, and knowledge base article translation, along with post-editing techniques, adaptation, and quality assessment.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What kinds of methods and topics are highlighted in the Commercial track?",{"text":113,"@type":109},"The proceedings list coverage of post-editing tools, MT adaptation from user feedback and translation memories, quality assessment using industry metrics, analysis of professional translator acceptance, and applications of speech translation.",{"name":115,"@type":106,"acceptedAnswer":116},"How are the proceedings organized in terms of tracks?",{"text":117,"@type":109},"The table of contents separates content into the Commercial MT Users and Translators section and the Government MT Users section, each listing multiple papers with page ranges.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},380623,1791731594,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":47,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":141},962090883568,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","PROCEEDINGS  \nOctober 28-November 1, 2016  \nThe Twelfth Conference of The Association for Machine Translation in the Americas  \n[http://www.amtaweb.org/amta-2016-in-austin-tx](http://www.amtaweb.org/amta-2016-in-austin-tx)  \nVOLUME 􀀓 :  \nMT 6TFrs’ Track  \nEditors:  \n0MHB \\#FSFHPWBZB, Jennifer Doyon, Lucie Langlois & Steve Richardson  \n􀀄Dd􀀄 ϮϬϭϲ  \nOctober Ϯϴ – November ϭ, 201ϲ -- 􀀄ƵƐƚŝŶ , dy, USA  \nProceedings of  \n􀀄Dd􀀄 ϮϬϭϲ,  \nVol. Ϯ:  \nCommercial MT Users and Translators Track Government MT hƐers Track  \nKůŐĂ 􀀑ĞƌĞŐŽǀĂLJĂ, Jennifer Doyon, Lucie Langlois & Steve Richardson, Eds.  \nAssociation for Machine Translation in the Americas  \n[http://www.amtaweb.org](http://www.amtaweb.org)  \n©201ϲ The Authors. These articles are licensed under a Creative Commons 3.0 license, no derivative works, attribution, CC-BY-ND.  \nIntroduction-Commercial MT Users and Translators Track  \nThe Commercial MT Users and Translators Track atAMTA 2016 features presentations from organizations, enterprises, and individuals in the translation and language technology industry worldwide, including Language Service Providers, commercial machine translation technology and service providers, and a wide range of machine translation practitioners.This year's presentations reflect the evolving variety of MT applications beyond traditional post-editing scenarios, such as Internet search, pseudolocalization, and knowledge base article translation.Industry experts and MT enthusiasts will cover topics relevant to everyone involved in the rapidly growing adoption of MT across the industry spectrum, including:  \nx techniques and tools for more effective post-editing,  \nx automatic and immediate adaptation of MT systems based on user feedback, x quality assessment of post-edited content using industry-standard metrics, x analysis of MT acceptance by professional translators,  \nx development of machine translation engines for less common languages,  \nx effective integration of translation memories with MT technology, and  \nx applications of speech translation.  \nPresentations on these and other topics willdocument the rapidly expanding acceptance and integration of machine translation technology,demonstrating its essential role in successful localization and translation efforts around the world.  \nThe Commercial MT Users and Translators Track Co-Chairs  \nSteve Richardson  \nOlga Beregovaya  \nContents  \nCommercial MT Users and Translators  \n1 MT crowdsource at Yandex  \nIrina Galinskaya and Farhat Aminov  \n3 MT Post-Editing in a cloud based environment  \nJean-Luc Saillard  \n19 MT Adaptation from TMs in ModernMT  \nMarcello Federico  \n58 Web App UI Layout Sniffer Raymond Peng and Xin Jing Hu  \n65 Multilingual Search with Machine Translation in the Intel Communities Ryan Martin  \n72 MT Thresholding: Achieving a defined quality bar with a mix of human and machine translation  \nDag Schmidtke  \n82 Machine Translation Acceptance Among Professional Linguists: Are We Nearing the Tipping Point?  \nYves Champollion  \n86 What Can We Really Learn from Post-editing?  \nMarcis Pinnis, Rihards Kalnins, Raivis Skadins and Inguna Skadina  \n92 An Empirical Study: Post-editing Effort for English to Arabic Hybrid Machine Translation  \nHassan Sajjad, Francisco Guzman and Stephan Vogel  \n114 Divide and Conquer Strategy for Large Data MT  \nDimitar Shterionov  \n123 The Reasonable Effectiveness of Data Achim Ruopp  \n143 MT for Uralic Languages: Yandex Approach Irina Galinskaya and Alexey Baytin  \n145 Seamlessly integrating machine translation into existing translation processes (STAR MT and Transit NXT)  \nNadira Hofmann  \n170 Building a Translation Memory to Improve Machine Translation Coverage and Quality  \nDuncan Gillespie and Benjamin Russell  \n179 Enhancing a Production TM-MT Environment Using a Quotation TM Hitokazu Matsushita and Steve Richardson  \n193 Improving Machine Translation for Post-Editing via Real Time Adaptation Dragos Munteanu  \n222 Improving KantanMT Training Efficiency with fast_alig","cbCaisfC2Rs1lBRU","https://ap.wps.com/l/cbCaisfC2Rs1lBRU","pdf",34484475,739,"English","# Commercial MT Users and Translators\n## Topics by paper (page ranges)\n# Government MT Users\n## Topics by paper (page ranges)","[{\"question\":\"What does the Commercial MT Users and Translators Track at AMTA 2016 focus on?\",\"answer\":\"It focuses on machine translation applications beyond traditional post-editing, including Internet search, pseudolocalization, and knowledge base article translation, along with post-editing techniques, adaptation, and quality assessment.\"},{\"question\":\"What kinds of methods and topics are highlighted in the Commercial track?\",\"answer\":\"The proceedings list coverage of post-editing tools, MT adaptation from user feedback and translation memories, quality assessment using industry metrics, analysis of professional translator acceptance, and applications of speech translation.\"},{\"question\":\"How are the proceedings organized in terms of tracks?\",\"answer\":\"The table of contents separates content into the Commercial MT Users and Translators section and the Government MT Users section, each listing multiple papers with page ranges.\"}]","Commercial MT Users and Translators Track - Part 1 - Proceedings | PDF",1790241029,259]