Improving Machine Translation in the E-commerce Luxury Space. A case study

José-Manuel De-la-Torre-Vilariño, Juan-Luis García-Mendoza, Alessia Petrucci

Abstract
This case study presents a Multilingual e-commerce Project, which principal aim is to create an improved system that translates product titles and descriptions, plus other content in multiple languages. The project consisted of two main phases; a research-intensive solution using state-of-the-art Machine Translation systems and baseline language models for two language pairs, and the development of a Machine Translation system. The features implemented included Quality Estimation, model benchmarking, entity recognizers, and automatic domain detection. mBART model was used to create the system for the specific domain of e-commerce, for luxury items.
Anthology ID:
2023.eamt-1.43
Volume:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2023
Address:
Tampere, Finland
Editors:
Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
445–449
Language:
URL:
https://aclanthology.org/2023.eamt-1.43
DOI:
Bibkey:
Cite (ACL):
José-Manuel De-la-Torre-Vilariño, Juan-Luis García-Mendoza, and Alessia Petrucci. 2023. Improving Machine Translation in the E-commerce Luxury Space. A case study. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 445–449, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):
Improving Machine Translation in the E-commerce Luxury Space. A case study (De-la-Torre-Vilariño et al., EAMT 2023)
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https://preview.aclanthology.org/nschneid-patch-3/2023.eamt-1.43.pdf
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