Apertium的最新进展，这是一个免费/开源的基于规则的机器翻译平台，用于低资源语言

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE MACHINE TRANSLATION Pub Date : 2021-10-18 DOI:10.1007/s10590-021-09260-6

Tanmai Khanna, Jonathan North Washington, Francis M. Tyers, S. Bayatli, Daniel G. Swanson, Flammie A. Pirinen, Irene Tang, Hèctor Alòs i Font

引用次数: 16

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Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages

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来源期刊

MACHINE TRANSLATION COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

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5.30%

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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

期刊最新文献

Introduction Machine Translation: 18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers Joint source–target encoding with pervasive attention Investigating the roles of sentiment in machine translation Augmenting training data with syntactic phrasal-segments in low-resource neural machine translation