- -

Vector sentences representation for data selection in statistical machine translation

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Vector sentences representation for data selection in statistical machine translation

Show full item record

Chinea-Rios, M.; Sanchis Trilles, G.; Casacuberta Nolla, F. (2019). Vector sentences representation for data selection in statistical machine translation. Computer Speech & Language. 56:1-16. https://doi.org/10.1016/j.csl.2018.12.005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155404

Files in this item

Item Metadata

Title: Vector sentences representation for data selection in statistical machine translation
Author: Chinea-Rios, Mara Sanchis Trilles, Germán Casacuberta Nolla, Francisco
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Embargo end date: 2021-07-31
Abstract:
[EN] One of the most popular approaches to machine translation consists in formulating the problem as a pattern recognition approach. Under this perspective, bilingual corpora are precious resources, as they allow for a ...[+]
Subjects: Statistical machine translation , Data selection , Continuous vector-space representation , Cross-entropy , Infrequent ngrams recovery
Copyrigths: Embargado
Source:
Computer Speech & Language. (issn: 0885-2308 )
DOI: 10.1016/j.csl.2018.12.005
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.csl.2018.12.005
Project ID:
UPV/FPI-2014
GENERALITAT VALENCIANA/PROMETEOII/2014/030
Thanks:
Work supported by the Generalitat Valenciana under grant ALMAMATER (PrometeoII/2014/030) and the FPI (2014) grant by Universitat Politècnica de València.
Type: Artículo

This item appears in the following Collection(s)

Show full item record