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A Corpus of Machine Translation Errors Extracted from Translation Students Exercises

Guillaume Wisniewski 1 Natalie Kübler 2 François Yvon 1
1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
2 CLILLAC-ARP (EA_3967) - Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus
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.
Keywords : Post-Edition Error Analysis Translation Error Corpus
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https://hal-univ-paris.archives-ouvertes.fr/hal-01134899
Contributor : Natalie Kübler <>
Submitted on : Tuesday, March 24, 2015 - 2:24:32 PM
Last modification on : Thursday, October 1, 2020 - 9:33:13 AM

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  • HAL Id : hal-01134899, version 1

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USPC | CNRS | UNIV-PARIS7 | LIMSI | CLILLAC-ARP | SORBONNE-UNIVERSITE | UNIV-PARIS | UP-SOCIETES-HUMANITES

Citation

Guillaume Wisniewski, Natalie Kübler, François Yvon. A Corpus of Machine Translation Errors Extracted from Translation Students Exercises. Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis. LREC 2014, May 2014, Reykjavik, Iceland. pp.26-31, 2014, Proceedings of the Ninth Language Resources and Evaluation Conference (LREC 2014), 26-31 May, Reykjavik, Iceland. ⟨hal-01134899⟩

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