Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation

Autor: Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez

Publikováno v: Proceedings of the 28th International Conference on Computational Linguistics
COLING
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

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 study covers eight language pairs, different training corpus sizes, two a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd363bc7cd1ac8cf5a36c34996a52e30
https://hdl.handle.net/10045/110739