Search Results for author: Juan Antonio P{\'e}rez-Ortiz

Found 8 papers, 1 papers with code

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

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.

Machine Translation TAG +1

Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation

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.

Machine Translation Translation

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