Paper Info
Title
Encoding Frequency Information in Lexicalized Grammars
Abstract
We address the issue of how to associate frequency information with lexicalized grammar formalisms, using Lexicalized Tree Adjoining Grammar as a representative framework. We consider systematically a number of alternative probabilistic frameworks, evaluating their adequacy from both a theoretical and empirical perspective using data from existing large treebanks. We also propose three orthogonal approaches for backing off probability estimates to cope with the large number of parameters involved.
Year
DOI
Venue
1997
10.1007/978-94-015-9470-7_2
Clinical Orthopaedics and Related Research
Keywords
Field
DocType
lexicalized grammars,probabilistic parsing
Tree-adjoining grammar,Rule-based machine translation,Programming language,Computer science,Grammar,Artificial intelligence,Natural language processing,Probabilistic logic,Rotation formalisms in three dimensions,Encoding (memory)
Journal
Volume
ISSN
Citations 
cmp-lg/970
5th International Workshop on Parsing Technologies (IWPT-97)
10
PageRank 
References 
Authors
1.63
21
2
Name
Order
Citations
PageRank
John Carroll11971222.19
David J. Weir284083.84