- -

Online adaptation strategies for statistical machine translation in post-editing scenarios

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Online adaptation strategies for statistical machine translation in post-editing scenarios

Show full item record

Martínez Gómez, P.; Sanchis Trilles, G.; Casacuberta Nolla, F. (2012). Online adaptation strategies for statistical machine translation in post-editing scenarios. Pattern Recognition. 45(9):3193-3203. doi:10.1016/j.patcog.2012.01.011

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37324

Files in this item

Item Metadata

Title: Online adaptation strategies for statistical machine translation in post-editing scenarios
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] One of the most promising approaches to machine translation consists in formulating the problem by means of a pattern recognition approach. By doing so, there are some tasks in which online adapta- tion is needed ...[+]
Subjects: Pattern recognition , Machine translation , Online learning
Copyrigths: Reserva de todos los derechos
Source:
Pattern Recognition. (issn: 0031-3203 )
DOI: 10.1016/j.patcog.2012.01.011
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.patcog.2012.01.011
Project ID: info:eu-repo/grantAgreement/EC/FP7/287576
Thanks:
This paper is based upon work supported by the EC (FP7) under CasMaCat (287576) project and the EC (FEDER/FSE) and the Spanish MICINN under projects MIPRCV "Consolider Ingenio 2010" (CSD2007-00018) and iTrans2 (TIN2009-14511). ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record