UM  > 科技學院  > 電腦及資訊科學系
Bilingual recursive neural network based data selection for statistical machine translation
Wong D.F.; Lu Y.; Chao L.S.
2016-09-15
Source PublicationKnowledge-Based Systems
ISSN09507051
Volume108Pages:15-24
Abstract

Data selection is a widely used and effective solution to domain adaptation in statistical machine translation (SMT). The dominant methods are perplexity-based ones, which do not consider the mutual translations of sentence pairs and tend to select short sentences. In this paper, to address these problems, we propose bilingual semi-supervised recursive neural network data selection methods to differentiate domain-relevant data from out-domain data. The proposed methods are evaluated in the task of building domain-adapted SMT systems. We present extensive comparisons and show that the proposed methods outperform the state-of-the-art data selection approaches.

KeywordAutoencoder Data Selection Domain Adaptation Machine Translation Recursive Neural Network
DOI10.1016/j.knosys.2016.05.003
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000382592600003
Fulltext Access
Citation statistics
Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wong D.F.,Lu Y.,Chao L.S.. Bilingual recursive neural network based data selection for statistical machine translation[J]. Knowledge-Based Systems,2016,108:15-24.
APA Wong D.F.,Lu Y.,&Chao L.S..(2016).Bilingual recursive neural network based data selection for statistical machine translation.Knowledge-Based Systems,108,15-24.
MLA Wong D.F.,et al."Bilingual recursive neural network based data selection for statistical machine translation".Knowledge-Based Systems 108(2016):15-24.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wong D.F.]'s Articles
[Lu Y.]'s Articles
[Chao L.S.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wong D.F.]'s Articles
[Lu Y.]'s Articles
[Chao L.S.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wong D.F.]'s Articles
[Lu Y.]'s Articles
[Chao L.S.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.