The first Automatic Translation Memory Cleaning Shared Task

This paper reports on the organization and results of the first Automatic Translation Memory Cleaning Shared Task. This shared task is aimed at finding automatic ways of cleaning translation memories (TMs) that have not been properly curated and thus include incorrect translations. As a follow up of...

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Bibliographic Details
Published in:Machine translation 2016-12, Vol.30 (3/4), p.145-166
Main Authors: Barbu, Eduard, Escartín, Carla Parra, Bentivogli, Luisa, Negri, Matteo, Turchi, Marco, Orasan, Constantin, Federico, Marcello
Format: Article
Language:English
Subjects:
Artificial Intelligence
Cleaning
Computational Linguistics
Computer memory
Computer Science
Machine translation
Natural Language Processing (NLP)
Polls & surveys
Translations
Translators
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Summary:This paper reports on the organization and results of the first Automatic Translation Memory Cleaning Shared Task. This shared task is aimed at finding automatic ways of cleaning translation memories (TMs) that have not been properly curated and thus include incorrect translations. As a follow up of the shared task, we also conducted two surveys, one targeting the teams participating in the shared task, and the other one targeting professional translators. While the researchers-oriented survey aimed at gathering information about the opinion of participants on the shared task, the translators-oriented survey aimed to better understand what constitutes a goodTM unit and inform decisions that will be taken in future editions of the task. In this paper, we report on the process of data preparation and the evaluation of the automatic systems submitted, as well as on the results of the collected surveys.
ISSN:0922-6567
1573-0573
DOI:10.1007/s10590-016-9183-x