A Corpus of Machine Translation Errors Extracted from Translation Students Exercises

International audience In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labelsidentifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises thathav...

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Bibliographic Details
Main Authors: Wisniewski, Guillaume, Kübler, Natalie, Yvon, François
Other Authors: Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE), Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus (CLILLAC-ARP (EA_3967)), Université Paris Diderot - Paris 7 (UPD7), ELRA, Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Format: Conference Object
Language:English
Published: HAL CCSD 2014
Subjects:
Post-Edition
Error Analysis
Translation Error Corpus
[SHS.LANGUE]Humanities and Social Sciences/Linguistics
Iceland
Online Access:https://u-paris.hal.science/hal-01134899
https://u-paris.hal.science/hal-01134899/document
https://u-paris.hal.science/hal-01134899/file/1115_Paper.pdf
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Summary:International audience In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labelsidentifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises thathave been corrected by a senior professor. This corpus can be useful for training quality estimation tools and for analyzing the types oferrors made MT system.

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