An Empirical Analysis of Data Selection Techniques in Statistical Machine Translation

Autor: Chinea Ríos, Mara, Sanchis Trilles, Germán, Casacuberta Nolla, Francisco

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

[EN] Domain adaptation has recently gained interest in statistical machine translation. One of the adaptation techniques is based in the selection data. Data selection aims to select the best subset of the bilingual sentences from an available pool o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ff0c85394b3002255bce1576ac10379
https://hdl.handle.net/10045/49281