Papers with translation error

2 papers
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method (L18-1)

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Challenge: idiom translation is a challenging problem in machine translation because meaning is non-compositional and literal translations are likely to be wrong.
Approach: They propose a method to evaluate the quality of idiom translation of MT systems by a blacklist of literal translations.
Outcome: The proposed method detects that a sizable number of idioms are mistranslated (46.1%) and that literal translation error is a common error type.
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation (N19-1)

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Challenge: Experimental results on a newly-annotated version of the NAIST Simultaneous Translation Corpus indicate the promise of our proposed method.
Approach: They propose a task of predicting which terminology simultaneous interpreters will leave untranslated using supervised sequence taggers.
Outcome: The proposed method predicts which terminology interpreters leave untranslated . it is based on an annotated version of the NAIST Simultaneous Translation Corpus .

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