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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