An end-to-end model for cross-lingual transformation of paralinguistic information

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

MACHINE TRANSLATION Pub Date : 2018-04-06 DOI:10.1007/s10590-018-9217-7

Takatomo Kano, Shinnosuke Takamichi, S. Sakti, Graham Neubig, T. Toda, Satoshi Nakamura

引用次数: 6

查看原文本刊更多论文

副语言信息跨语言转换的端到端模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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