This inconsistency between references texts can negatively influence the quality of automatic evaluation of machine translation especially in high morphological ...
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Abstract—Automatic methods for MT evaluation are often depends on high quality data as references that allow the comparison between automatic and human ...
Dec 5, 2018 · This inconsistency between references texts can negatively influence the quality of automatic evaluation of machine translation especially in ...
This paper describes the impact of using different-quality references on evalua- tion. Surprisingly enough, similar scores are obtained in many cases regardless ...
Language resource quality is crucial in. NLP. Many of the resources used are de- rived from data created by human beings out of an NLP context, ...
Missing: normalization | Show results with:normalization
Aug 11, 2022 · Automatic evaluation systems are premised on the MT having an exact match with a reference text, and minor differences can have an impact on the ...
Aug 14, 2023 · Automatic evaluation of machine translation. (MT) is a critical tool driving the rapid iter- ative development of MT systems. While.
Dec 6, 2023 · Automatic evaluation of MT is often performed by comparing the system output with one or more reference translations, using an evaluation metric ...
The impact of reference normalization on automatic MT evaluation · M ... reference normalization results in a significant increase in Automatic MT Evaluation ...
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Dec 1, 2023 · Automatic evaluation of MT is often performed by comparing the system output with one or more reference translations, using an evaluation metric ...