Comparative analysis of machine translation systems
Автор: Riahovskaya Anastasia Yurievna
Статья в выпуске: 1 (9), 2017 года.
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The article deals with the issues of text processing evolution. The features of the contemporary machine translation systems are compared. Common and individual advantages and shortcomings of the most popular free RBTM, STM and neural network systems are revealed. The efficiency and feasibility of the online systems in the professional work of a translator are assessed in the article
Machine translation, statistical machine translation, rule-based machine translation, neural network translation, technical translation, literary translation, context meaning
Короткий адрес: https://sciup.org/140129986
IDR: 140129986
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