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A Corpus of Machine Translation Errors Extracted from Translation Students Exercises
Abstract : In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labels
identifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises that
have been corrected by a senior professor. This corpus can be useful for training quality estimation tools and for analyzing the types of
errors made MT system.
https://hal-univ-paris.archives-ouvertes.fr/hal-01134899
Contributor : Natalie Kübler Connect in order to contact the contributor
Submitted on : Thursday, March 31, 2022 - 5:02:27 PM
Last modification on : Sunday, June 26, 2022 - 12:18:20 PM
Long-term archiving on: : Friday, July 1, 2022 - 7:07:42 PM
Contributor : Natalie Kübler Connect in order to contact the contributor
Submitted on : Thursday, March 31, 2022 - 5:02:27 PM
Last modification on : Sunday, June 26, 2022 - 12:18:20 PM
Long-term archiving on: : Friday, July 1, 2022 - 7:07:42 PM
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