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Evaluation of Machine Translation Errors in English and Iraqi Arabic.

机译：英语和伊拉克语阿拉伯语机器翻译错误评估。

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摘要

Errors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems' development using Human Translation Error Rate (HTER) methods to identify errors and human annotations to refine Translation Error Rate (TER) annotations. Although the frequencies of errors in the more mature systems were lower, the proportions of error types exhibited little change. Results include high frequencies of pronoun errors in translations to English, high frequencies of subject person inflection in translations to Iraqi Arabic, similar frequencies of word order errors in both translation directions, and very low frequencies of polarity errors. The problems with many errors can be generalized as the need to insert lexemes not present in the source or vice versa, which includes errors in multi-word expressions. Discourse context will be required to resolve some problems with deictic elements like pronouns.

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Condon, S.; Parvaz, D.; Aberdeen, J.; Doran, C.; Freeman, A.;
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年度 2010
页码 1-8
总页数 8
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Arabic language; English language; Errors; Identification; Machine translation; Speech; Classification; Grammars; Iraq; Methodology; Performance(Human); Translation error annotation; Iraqi arabic; Human annotations; Human translators; Human translation; Reference transla;

机译：阿拉伯语;英语;错误;识别;机器翻译;言语;分类;语法;伊拉克;方法论;表现（人）;翻译错误注释;伊拉克阿拉伯语;人类注释;人类翻译;人类翻译;参考翻译;

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7. Evaluation of machine translation errors in english and iraqi arabic [O] . Sherri Condon, Dan Parvaz, John Aberdeen, 2010

机译：评估英语和伊拉克语中的机器翻译错误

Evaluation of Machine Translation Errors in English and Iraqi Arabic.

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