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NAACL
2010
13 years 5 months ago
Unsupervised Syntactic Alignment with Inversion Transduction Grammars
Syntactic machine translation systems currently use word alignments to infer syntactic correspondences between the source and target languages. Instead, we propose an unsupervised...
Adam Pauls, Dan Klein, David Chiang, Kevin Knight
ACL
2007
13 years 9 months ago
Minimum Bayes Risk Decoding for BLEU
We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation. The approach aims to minimize the expected loss of translation errors with regard to the BLEU sc...
Nicola Ehling, Richard Zens, Hermann Ney
EMNLP
2007
13 years 9 months ago
Improving Word Alignment with Bridge Languages
We describe an approach to improve Statistical Machine Translation (SMT) performance using multi-lingual, parallel, sentence-aligned corpora in several bridge languages. Our appro...
Shankar Kumar, Franz Josef Och, Wolfgang Macherey
ICWSM
2008
13 years 9 months ago
International Sentiment Analysis for News and Blogs
There is a growing interest in mining opinions using sentiment analysis methods from sources such as news, blogs and product reviews. Most of these methods have been developed for...
Mikhail Bautin, Lohit Vijayarenu, Steven Skiena
ACL
2007
13 years 9 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao