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» Improving statistical parsing by linguistic regularization
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COLING
2010
14 years 4 months ago
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
Karthik Visweswariah, Jiri Navratil, Jeffrey S. So...
ACL
2012
12 years 12 months ago
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing
The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artificial context where such expressions have been perfectly pre-identiļ...
Matthieu Constant, Anthony Sigogne, Patrick Watrin
ACL
2007
14 years 11 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
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COLING
2002
14 years 9 months ago
Can Subcategorization Help a Statistical Dependency Parser?
Today there is a relatively large body of work on automatic acquisition of lexicosyntactical preferences (subcategorization) from corpora. Various techniques have been developed t...
Daniel Zeman
ACL
2009
14 years 7 months ago
Quadratic-Time Dependency Parsing for Machine Translation
Efficiency is a prime concern in syntactic MT decoding, yet significant developments in statistical parsing with respect to asymptotic efficiency haven't yet been explored in...
Michel Galley, Christopher D. Manning