Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America
Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America
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扩展 JHU 圣经语料库以实现北美土著语言的机器翻译
DOI：
10.33011/computel.v1i.949
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Miikka Silfverberg
中科院分区：
文献类型：
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作者：
Garrett Nicolai;Edith Coates;M. Zhang;Miikka Silfverberg
我们提出了一个扩展JHU圣经语料库，收集和规范化30多个圣经翻译在北美的30种土著语言。这些表现出各种各样的有趣的句法和形态的现象，在计算社区研究不足。神经翻译实验表明，通过跨语言、多对多翻译获得了显着的收益，对于极低资源的语言，比单语模型提高了8.4 BLEU。
We present an extension to the JHU Bible corpus, collecting and normalizing more than thirty Bible translations in thirty Indigenous languages of North America. These exhibit a wide variety of interesting syntactic and morphological phenomena that are understudied in the computational community. Neural translation experiments demonstrate significant gains obtained through cross-lingual, many-to-many translation, with improvements of up to 8.4 BLEU over monolingual models for extremely low-resource languages.