A Corpus of Machine Translation Errors Extracted from Translation Students Exercises

• 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

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.