The standard way of doing human evaluations of machine translation (MT) quality for the past few years has been to have human judges grade each sentence of MT output against a reference translation on measures of adequacy and fluency. Adequacy is the level at which the translation conveys the information contained in the original (source [...]
Archive for 12 May 2008
MT Eval with Binary Comparisons
Posted: 12 May 2008 in UncategorizedTags: collaborative filtering, computational linguistics, machine learning, machine translation, machine translation evaluation, mt, mt eval, rankings, recommender systems
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