Alessia Petrucci


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2023

pdf bib
Improving Machine Translation in the E-commerce Luxury Space. A case study
José-Manuel De-la-Torre-Vilariño | Juan-Luis García-Mendoza | Alessia Petrucci
Proceedings of the 24th Annual Conference of the European Association for Machine Translation

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.