英语-斯瓦希里语平行语料库及其在新闻领域神经机器翻译中的应用

European Association for Machine Translation Conferences/Workshops Pub Date : 2020-03-31 DOI:10.5281/ZENODO.3923590

F. Sánchez-Martínez, V. M. Sánchez-Cartagena, J. A. Pérez-Ortiz, M. Forcada, M. Esplà-Gomis, Andrew Secker, Susie Coleman, J. Wall

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引用次数: 7

摘要

本文描述了我们在新闻领域创建一个神经机器翻译系统来翻译英语和斯瓦希里语(两个方向)的方法，以及我们从互联网上抓取必要的平行语料库的过程。我们报告了参与H2020欧盟资助项目GoURMET的新闻媒体组织进行的试点人类评估的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An English-Swahili parallel corpus and its use for neural machine translation in the news domain

This paper describes our approach to create a neural machine translation system to translate between English and Swahili (both directions) in the news domain, as well as the process we followed to crawl the necessary parallel corpora from the Internet. We report the results of a pilot human evaluation performed by the news media organisations participating in the H2020 EU-funded project GoURMET.

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European Association for Machine Translation Conferences/Workshops

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