María Do Campo Bayón


2023

pdf bib
A social media NMT engine for a low-resource language combination
María Do Campo Bayón | Pilar Sánchez-Gijón
Proceedings of the 24th Annual Conference of the European Association for Machine Translation

The aim of this article is to present a new Neural Machine Translation (NMT) from Spanish into Galician for the social media domain that was trained with a Twitter corpus. Our main goal is to outline the methods used to build the corpus and the steps taken to train the engine in a low-resource language context. We have evalu-ated the engine performance both with regular automatic metrics and with a new methodology based on the non-inferiority process and contrasted this information with an error classification human evalua-tion conducted by professional linguists. We will present the steps carried out fol-lowing the conclusions of a previous pilot study, describe the new process followed, analyze the new engine and present the final conclusions.

2019

pdf bib
Evaluating machine translation in a low-resource language combination: Spanish-Galician.
María Do Campo Bayón | Pilar Sánchez-Gijón
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks