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文章基本信息

  • 标题:Open-Source Neural Machine Translation API Server
  • 本地全文:下载
  • 作者:Sander Tars ; Kaspar Papli ; Dmytro Chasovskyi
  • 期刊名称:The Prague Bulletin of Mathematical Linguistics
  • 印刷版ISSN:0032-6585
  • 电子版ISSN:1804-0462
  • 出版年度:2017
  • 卷号:109
  • 期号:1
  • 页码:5-14
  • DOI:10.1515/pralin-2017-0034
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:We introduce an open-source implementation of a machine translation API server. The aim of this software package is to enable anyone to run their own multi-engine translation server with neural machine translation engines, supporting an open API for client applications. Besides the hub with the implementation of the client API and the translation service providers running in the background we also describe an open-source demo web application that uses our software package and implements an online translation tool that supports collecting translation quality comparisons from users.
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