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Maja, P., & Hermann, N. (2006). Morpho-syntactic information for automatic error analysis of statistical machine translation output. Proceedings of the workshop on statistical machine translation, New York City, June 2006, c2006 Association for Computational Linguistics, 1-6.

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• TITLE: Survey of Common Errors of English to Vietnamese Google Translator in Business Contract

  AUTHORS: Trần Lê Tâm Linh

  KEYWORDS: Machine Translation (MT); Lexical Error; Semantic Error; Word Order Error; Missing Error; Redundant Errors; Google Translator

  JOURNAL NAME: Open Journal of Modern Linguistics, Vol.3 No.2, May 30, 2013

  ABSTRACT: Machine translation is a prolonged and difficult problem, but it becomes more and more attractive due to its huge benefits for our society. Nowadays, Google Translator (GT) is one of the most common machine translation softwares because of its relatively high accuracy. However, some language pairs with their different typology and some specialized texts which are translated by GT have not issued really good translation results yet. In this paper, we survey the common errors of machine translation from the point of view of comparative linguistics in business contracts when these legal documents are translated from English into Vietnamse by using GT. Hopefully, these results can be used to intend the effective ways improving translation models of computer in the future.