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ICTAI
2010
IEEE
13 years 2 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
COLING
2010
12 years 12 months ago
Semantic Role Features for Machine Translation
We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
Ding Liu, Daniel Gildea
NAACL
2004
13 years 6 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
ACL
2003
13 years 6 months ago
Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation
When rules of transfer-based machine translation (MT) are automatically acquired from bilingual corpora, incorrect/redundant rules are generated due to acquisition errors or trans...
Kenji Imamura, Eiichiro Sumita, Yuji Matsumoto
ACL
2006
13 years 6 months ago
Combination of Arabic Preprocessing Schemes for Statistical Machine Translation
Statistical machine translation is quite robust when it comes to the choice of input representation. It only requires consistency between training and testing. As a result, there ...
Fatiha Sadat, Nizar Habash