Domain adaptation of statistical machine translation with domain-focused web crawling

In this paper, we tackle the problem of domain adaptation of statistical machine translation (SMT) by exploiting domain-specific data acquired by domain-focused crawling of text from the World Wide Web. We design and empirically evaluate a procedure for automatic acquisition of monolingual and paral...

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Detalles Bibliográficos
Autores principales: Pecina, Pavel, Toral, Antonio, Papavassiliou, Vassilis, Prokopidis, Prokopis, Tamchyna, Aleš, Way, Andy, van Genabith, Josef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2014
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4479164/
https://www.ncbi.nlm.nih.gov/pubmed/26120290
http://dx.doi.org/10.1007/s10579-014-9282-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4479164/
https://www.ncbi.nlm.nih.gov/pubmed/26120290
http://dx.doi.org/10.1007/s10579-014-9282-3

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