Background Search for Terminology in STAR MT Translate

Giorgio Bernardinello, Judith Klein


Abstract
When interested in an internal web ap-plication for MT, corporate customers always ask how reliable terminology will be in their translations. Coherent vocabulary is crucial in many aspects of corporate translations, such as doc-umentation or marketing. The main goal every MT provider would like to achieve is to fully integrate the cus-tomer’s terminology into the model, so that the result does not need to be edit-ed, but this is still not always guaran-teed. Besides, a web application like STAR MT Translate allows our cus-tomers to use – integrated within the same page – different generic MT pro-viders which were not trained with customer-specific data. So, as a prag-matic approach, we decided to in-crease the level of integration between WebTerm and STAR MT Translate, adding to the latter more terminological information, with which the user can post-edit the translation if needed.
Anthology ID:
2022.eamt-1.51
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
323–324
Language:
URL:
https://aclanthology.org/2022.eamt-1.51
DOI:
Bibkey:
Cite (ACL):
Giorgio Bernardinello and Judith Klein. 2022. Background Search for Terminology in STAR MT Translate. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 323–324, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
Background Search for Terminology in STAR MT Translate (Bernardinello & Klein, EAMT 2022)
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PDF:
https://aclanthology.org/2022.eamt-1.51.pdf