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57
Voted
ACL
2006
15 years 1 months ago
2006
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
112
Voted
ACL
2006
15 years 1 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
ACL
2006
15 years 1 months ago
2006
We claim that existing specification languages for tree based grammars fail to adequately support identifier managment. We then show that XMG (eXtensible MetaGrammar) provides a s...
ACL
2006
15 years 1 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
64
Voted
ACL
2006
15 years 1 months ago
2006
Statistical language models should improve as the size of the n-grams increases from 3 to 5 or higher. However, the number of parameters and calculations, and the storage requirem...