Overview of the DARPA LORELEI Program

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE MACHINE TRANSLATION Pub Date : 2018-06-01 DOI:10.1007/s10590-017-9212-4

Caitlin Christianson, Jason Duncan, B. Onyshkevych

引用次数: 21

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DARPA LORELEI项目概述

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

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