{"title":"优化机器翻译后期编辑工作流程","authors":"A. Zaretskaya","doi":"10.26615/issn.2683-0078.2019_018","DOIUrl":null,"url":null,"abstract":"In this article, we describe how machine translation is used for post-editing at TransPerfect and the ways in which we optimise the workflow. This includes MT evaluation, MT engine customisation, leveraging MT suggestions compared to TM matches, and the lessons learnt from implementing MT at a large scale.","PeriodicalId":313947,"journal":{"name":"Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Optimising the Machine Translation Post-editing Workflow\",\"authors\":\"A. Zaretskaya\",\"doi\":\"10.26615/issn.2683-0078.2019_018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we describe how machine translation is used for post-editing at TransPerfect and the ways in which we optimise the workflow. This includes MT evaluation, MT engine customisation, leveraging MT suggestions compared to TM matches, and the lessons learnt from implementing MT at a large scale.\",\"PeriodicalId\":313947,\"journal\":{\"name\":\"Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26615/issn.2683-0078.2019_018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26615/issn.2683-0078.2019_018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimising the Machine Translation Post-editing Workflow
In this article, we describe how machine translation is used for post-editing at TransPerfect and the ways in which we optimise the workflow. This includes MT evaluation, MT engine customisation, leveraging MT suggestions compared to TM matches, and the lessons learnt from implementing MT at a large scale.