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CORR
1999
Springer
59views Education» more  CORR 1999»
12 years 1 months ago
HMM Specialization with Selective Lexicalization
We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. 'Our approach examines the d...
Jin-Dong Kim, Sang-Zoo Lee, Hae-Chang Rim
ACL
1996
12 years 3 months ago
Generating an LTAG out of a Principle-based Hierarchical Representation
Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92). We p...
Marie-Hélène Candito
ACL
2000
12 years 3 months ago
Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar
We discuss the advantages of lexicalized tree-adjoining grammar as an alternative to lexicalized PCFG for statistical parsing, describingthe induction of a probabilistic LTAG mode...
David Chiang
ACL
1998
12 years 3 months ago
Building Parallel LTAG for French and Italian
In this paper we view Lexicalized Tree Adjoining Grammars as the compilation of a tract and modular layer of linguistic description :the metagrammar (MG). MG provides a hierarchic...
Marie-Hélène Candito
ACL
2003
12 years 3 months ago
Accurate Unlexicalized Parsing
We demonstrate that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down fa...
Dan Klein, Christopher D. Manning
ACL
2006
12 years 3 months ago
Extraction of Tree Adjoining Grammars from a Treebank for Korean
We present the implementation of a system which extracts not only lexicalized grammars but also feature-based lexicalized grammars from Korean Sejong Treebank. We report on some p...
Jungyeul Park
CICLING
2005
Springer
12 years 4 months ago
Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates
We use prior and boundary estimates as the approximation of outside probability and establish our beam thresholding strategies based on these estimates. Lexical items, e.g. head wo...
Deyi Xiong, Qun Liu, Shouxun Lin
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