A Machine Learning Method to Distinguish Machine Translation from Human Translation
Yitong Li, Rui Wang, Hai Zhao · Institutional Repositories DataBase (IRDB) · 2015
This paper introduces a machine learning approach to distinguish machine translation texts from human texts in the sentence level automatically.In stead of traditional methods, we extract some linguistic features only from the target language side to train the prediction model and these features are independent of the source language.Our prediction model presents an indicator to measure how much a sentence generated by a machine translation system looks like a real human translation.Furthermore, the indicator can directly and effectively enhance statistical machine translation systems, which can be proved as BLEU score improvements.