Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

MACHINE TRANSLATION Pub Date : 2021-12-01 DOI:10.1007/s10590-021-09290-0

Kamal Kumar Gupta, Sukanta Sen, Rejwanul Haque, Asif Ekbal, P. Bhattacharyya, Andy Way

引用次数: 2

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基于句法短语片段的低资源神经机器翻译训练数据增强

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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来源期刊

MACHINE TRANSLATION COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

自引率

5.30%

发文量

期刊介绍： Machine Translation covers all branches of computational linguistics and language engineering, wherever they incorporate a multilingual aspect. It features papers that cover the theoretical, descriptive or computational aspects of any of the following topics: •machine translation and machine-aided translation •human translation theory and practice •multilingual text composition and generation •multilingual information retrieval •multilingual natural language interfaces •multilingual dialogue systems •multilingual message understanding systems