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ORCID11th AMTA 2014: Vancouver, Canada
- Yaser Al-Onaizan, Michel Simard:
Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track, AMTA 2014, Vancouver, Canada, October 22-26, 2014. Association for Machine Translation in the Americas 2014 - Maryam Siahbani, Anoop Sarkar:
Expressive hierarchical rule extraction for left-to-right translation. 1-14 - Baskaran Sankaran, Anoop Sarkar:
Bayesian iterative-cascade framework for hierarchical phrase-based translation. 15-27 - Darlene A. Stewart, Roland Kuhn, Eric Joanis, George F. Foster:
Coarse "split and lump" bilingual language models for richer source information in SMT. 28-41 - John E. Ortega, Felipe Sánchez-Martínez, Mikel L. Forcada:
Using any machine translation source for fuzzy-match repair in a computer-aided translation setting. 42-53 - Mihael Arcan, Marco Turchi, Sara Topelli, Paul Buitelaar:
Enhancing statistical machine translation with bilingual terminology in a CAT environment. 54-68 - Michel Simard:
Clean data for training statistical MT: the case of MT contamination. 69-82 - Kevin Flanagan:
Bilingual phrase-to-phrase alignment for arbitrarily-small datasets. 83-95 - Jian Zhang, Liangyou Li, Andy Way, Qun Liu:
A probabilistic feature-based fill-up for SMT. 96-109 - Chenchen Ding, Masao Utiyama, Eiichiro Sumita:
Document-level re-ranking with soft lexical and semantic features for statistical machine translation. 110-123 - Boxing Chen, Roland Kuhn, George F. Foster:
A comparison of mixture and vector space techniques for translation model adaptation. 124-138 - Eva Hasler, Barry Haddow, Philipp Koehn:
Combining domain and topic adaptation for SMT. 139-151 - Prashant Mathur, Mauro Cettolo, Marcello Federico, José G. C. de Souza
:
Online multi-user adaptive statistical machine translation. 152-165 - Mauro Cettolo, Nicola Bertoldi, Marcello Federico:
The repetition rate of text as a predictor of the effectiveness of machine translation adaptation. 166-179 - Burak Aydin, Arzucan Özgür:
Expanding machine translation training data with an out-of-domain corpus using language modeling based vocabulary saturation. 180-192 - Joern Wuebker, Hermann Ney, Adria A. Martinez-Villaronga, Adrià Giménez, Alfons Juan, Christophe Servan, Marc Dymetman, Shachar Mirkin:
Comparison of data selection techniques for the translation of video lectures. 193-207 - Sitong Yang, Heng Yu, Hongmei Zhao, Qun Liu, Yajuan Lü:
Review and analysis of China workshop on machine translation 2013 evaluation. 208-221 - Jan Niehues, Alexander Allauzen, François Yvon, Alex Waibel:
Combining techniques from different NN-based language models for machine translation. 222-233 - Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori, Tatsuya Kawahara:
Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering. 234-248 - Liangyou Li, Andy Way, Qun Liu:
A discriminative framework of integrating translation memory features into SMT. 249-260 - Nicholas Ruiz, Marcello Federico:
Assessing the impact of speech recognition errors on machine translation quality. 261-274 - Marion Weller, Sabine Schulte im Walde, Alexander Fraser:
Using noun class information to model selectional preferences for translating prepositions in SMT. 275-287 - Lucia Specia, Kashif Shah:
Predicting human translation quality. 288-300 - Shachar Mirkin, Laurent Besacier:
Data selection for compact adapted SMT models. 301-314 - Rohit Dholakia, Anoop Sarkar:
Pivot-based triangulation for low-resource languages. 315-328 - Jonathan May, Yassine Benjira, Abdessamad Echihabi:
An Arabizi-English social media statistical machine translation system. 329-341 - Saab Mansour, Yaser Al-Onaizan, Graeme W. Blackwood, Christoph Tillmann:
Automatic dialect classification for statistical machine translation. 342-355 - Junfei Guo, Juan Liu, Qi Han, Andreas Maletti:
A tunable language model for statistical machine translation. 356-368
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