Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE MACHINE TRANSLATION Pub Date : 2016-11-14 DOI:10.1007/s10590-017-9197-z

Hideki Nakayama, Noriki Nishida

引用次数: 55

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基于多媒体枢纽的多模态编解码器网络的零资源机器翻译

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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