Titlebook: Machine Translation; 15th China Conferenc Shujian Huang,Kevin Knight Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 ar

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Independent Fusion of Words and Image for Multimodal Machine Translation, works project the image feature into the text semantic space and merged into the model in different ways. Actually, different source words may capture different visual information. Therefore, we propose a multimodal neural machine translation (MNMT) model that integrates the words and visual inform

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Neural Machine Translation with Attention Based on a New Syntactic Branch Distance,ce sentence during translation process. Attention mechanism usually focuses on local attention by using solely the linear index distance of words while ignores syntax structures of sentences. In this paper, we extend local attention through syntax distance constraint, and propose an attention mechan

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/620778.jpg

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