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A systematic comparison of data selection criteria for SMT domain adaptation Journal article
The Scientific World Journal, 2014,Volume: 2014
Authors:  Wang L.;  Wong D.F.;  Chao L.S.;  Lu Y.;  Xing J.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/24
Data selection via semi-supervised recursive autoencoders for SMT domain adaptation Conference paper
MACHINE TRANSLATION, CWMT 2014, Macau, PEOPLES R CHINA, NOV 04-06, 2014
Authors:  Lu Y.;  Wong D.F.;  Chao L.S.;  Wang L.
Favorite  |  View/Download:6/0  |  Submit date:2018/12/24
Data Selection  Domain Adaptation  Recursive Autoencoders  Semi-supervise  Statistical Machine Translation  
UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation Conference paper
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, Reykjavik, ICELAND, MAY 26-31, 2014
Authors:  Tian, Liang;  Derek F. Wong;  Lidia S. Chao;  Paulo Quaresma;  Francisco Oliveira;  Yi Lu;  Li, S;  Wang, YM;  Wang, LY
Favorite  |  View/Download:12/0  |  Submit date:2019/04/25
English-chinese Parallel Corpus  Different Domains  Statistical Machine Translation  
Domain Adaptation for Medical Text Translation using Web Resources Conference paper
the Ninth Workshop on Statistical Machine Translation, Baltimore, Maryland USA, June 26–27, 2014
Authors:  Yi Lu;  Longyue Wang;  Derek F. Wong;  Lidia S. Chao;  Yiming Wang;  Francisco Oliveira
Favorite  |  View/Download:1/0  |  Submit date:2019/04/24
Combining Domain Adaptation Approaches for Medical Text Translation Conference paper
Proceedings of the Ninth Workshop on Statistical Machine Translation, Baltimore, Maryland USA, June 26–27, 2014.
Authors:  Longyue Wang;  Yi Lu;  Derek F. Wong;  Lidia S. Chao;  Yiming Wang;  Francisco Oliveira
Favorite  |  View/Download:1/0  |  Submit date:2019/04/24