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122
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ACL
2009
15 years 1 months ago
2009
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
103
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COLING
2010
14 years 10 months ago
2010
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
119
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ACL
2011
14 years 6 months ago
2011
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
155
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ACL
2011
2011
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
14 years 6 months ago
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
190
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Publication
Sensor networks have been used in many surveillance systems, providing statistical information about monitored areas. Accurate counting information (e.g., the distribution
of the ...