no code implementations • COLING 2020 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Felipe S{\'a}nchez-Mart{\'\i}nez
The study covers eight language pairs, different training corpus sizes, two architectures, and three types of annotation: dummy tags (with no linguistic information at all), part-of-speech tags, and morpho-syntactic description tags, which consist of part of speech and morphological features.
no code implementations • WS 2019 • Alex Birch, ra, Barry Haddow, Ivan Tito, Antonio Valerio Miceli Barone, Rachel Bawden, Felipe S{\'a}nchez-Mart{\'\i}nez, Mikel L. Forcada, Miquel Espl{\`a}-Gomis, V{\'\i}ctor S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Wilker Aziz, Andrew Secker, Peggy van der Kreeft
no code implementations • WS 2019 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Juan Antonio P{\'e}rez-Ortiz, Felipe S{\'a}nchez-Mart{\'\i}nez
This paper describes the two submissions of Universitat d{'}Alacant to the English-to-Kazakh news translation task at WMT 2019.
no code implementations • LREC 2012 • V{\'\i}ctor M. S{\'a}nchez-Cartagena, Miquel Espl{\`a}-Gomis, Juan Antonio P{\'e}rez-Ortiz
In this paper, a previous work on the enlargement of monolingual dictionaries of rule-based machine translation systems by non-expert users is extended to tackle the complete task of adding both source-language and target-language words to the monolingual dictionaries and the bilingual dictionary.