8 citations · 15 across the 3 of their papers we have counts for
3 papers
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation
Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz +1
When the amount of parallel sentences available to train a neural machine translation is scarce, a common practice is to generate new synthetic training samples from them. A number…
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation
Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez
This paper studies the effects of word-level linguistic annotations in under-resourced neural machine translation, for which there is incomplete evidence in the literature. The stu…
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation
Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz +1
Computer-aided translation (CAT) tools based on translation memories (MT) play a prominent role in the translation workflow of professional translators. However, the reduced availa…