Maja, P., & Hermann, N. (2007). Word error rates: Decomposition over POS classes and applications for error analysis. Proceedings of the second workshop on statistical machine translation, Prague, June 2007, c 2007 Association for Computational Linguistics, 48-55.

has been cited by the following article:

• 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.