Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

MACHINE TRANSLATION Pub Date : 2014-12-01 DOI:10.1007/s10590-014-9157-9

Germán Sanchis-Trilles, Vicente Alabau, C. Buck, M. Carl, F. Casacuberta, Mercedes García-Martínez, Ulrich Germann, J. González-Rubio, Robin L. Hill, Philipp Koehn, Luis A. Leiva, B. Mesa-Lao, Daniel Ortiz-Martínez, Herve Saint-Amand, Chara Tsoukala, E. Vidal

引用次数: 37

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交互式翻译预测与传统后期编辑在实践中的对比:基于CasMaCat工作台的研究

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