Exploiting a Large Strongly Comparable Corpus
Autores: Andoni Azpeitia Zaldua Naiara Perez Miguel
Fecha: 28.05.2016
Abstract
This article describes a large comparable corpus for Basque and Spanish and the methods employed to build a parallel resource from the original data. The EITB corpus, a strongly comparable corpus in the news domain, is to be shared with the research community, as an aid for the development and testing of methods in comparable corpora exploitation, and as basis for the improvement of data-driven machine translation systems for this language pair. Competing approaches were explored for the alignment of comparable segments in the corpus, resulting in the design of a simple method which outperformed a state-of-the-art method on the corpus test sets. The method we present is highly portable, computationally efficient, and significantly reduces deployment work, a welcome result for the exploitation of comparable corpora.
BIB_text
title = {Exploiting a Large Strongly Comparable Corpus},
pages = {3523-3529},
keywds = {
Comparable corpora, Alignment, Corpus exploitation, Basque, Statistical machine translation
}
abstract = {
This article describes a large comparable corpus for Basque and Spanish and the methods employed to build a parallel resource from the original data. The EITB corpus, a strongly comparable corpus in the news domain, is to be shared with the research community, as an aid for the development and testing of methods in comparable corpora exploitation, and as basis for the improvement of data-driven machine translation systems for this language pair. Competing approaches were explored for the alignment of comparable segments in the corpus, resulting in the design of a simple method which outperformed a state-of-the-art method on the corpus test sets. The method we present is highly portable, computationally efficient, and significantly reduces deployment work, a welcome result for the exploitation of comparable corpora.
}
isbn = {978-2-9517408-9-1},
date = {2016-05-28},
year = {2016},
}
