KLUWER ACADEMIC PUBLISHERS
TEXT, SPEECH AND LANGUAGE TECHNOLOGY Series, Volume 1
Series editors: Nancy Ide and Jean V=E9ronis
RECENT ADVANCES IN PARSING TECHNOLOGY
edited by
Harry Bunt
Center for Language, Information and Artificial Intelligence,
Tilburg University, the Netherlands
Masaru Tomita
Dept. of Environmental Information
Keio University, Japan
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Parsing technologies are concerned with the automatic decomposition of=20
complex structures into their constituent parts, with structures in=20
formal or natural languages as their main, but certainly not their only,=20
domain of application. The focus of Recent Advances in Parsing=20
Technology is on parsing technologies for linguistic structures, but it=20
also contains chapters concerned with parsing two or more dimensional=20
languages.
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New and improved parsing technologies are important not only for=20
achieving better performance in terms of efficiency, robustness,=20
coverage, etc., but also because the developments in areas related to=20
natural language processing give rise to new requirements on parsing=20
technologies. Ongoing research in the areas of formal and computational=20
linguistics and artificial intelligence lead to new formalisms for the=20
representation of linguistic knowledge, and these formalisms and their=20
application in such areas as machine translation and language-based=20
interfaces call for new, effective approaches to parsing. Moreover,=20
advances in speech technology and multimedia applications cause an=20
increasing demand for parsing technologies where language, speech, and=20
other modalities are fully integrated.
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Recent Advances in Parsing Technology presents an overview of recent=20
developments in this area with an emphasis on new approaches for parsing=20
modern, constraint-based formalisms on stochastic approaches to parsing,=20
and on aspects of integrating syntactic parsing in further processing.
Contents and Contributors:
1. Parsing Technologies, and Why We Need Them; H. Bunt.
2. Fully Incremental Parsing; M. Wir=E9n, R.R=F6nnquist.
3. Increasing the Applicability of LR Parsing; M.-J. Nederhof, J. Sarbo.
4. Towards a Formal Understanding of the Determinism Hypothesis in=20
D-Theory; J.Rogers, K. Vijay-Shanker.
5. Varieties of Heuristics in Sentence Parsing; M. Nagao.
6. Parsing as Dynamic Interpretation of Feature Structures; H. Bunt, K.=20
van der Sloot.
7. Proof Theory for HPSG Parsing; S. Raaijmakers.
8. Efficient Parsing of Compiled Typed Attribute-Value Logic Grammars;=20
B. Carpenter, G. Penn.
9. Predictive Head-Corner Chart Parsing; K. Sikkel, R. op den Akker.
10. GLR* - An Efficient Noise-Skipping Parsing Algorithm for=20
Context-Free Grammars; A. Lavie, M. Tomita.
11. Evaluation of the Tagged Text Parser, A Preliminary Report; T.=20
Strzalkowski, P. Scheyen.
12. Learning to Parse with Transformations; E. Brill.
13. Estimation of Verb Subcategorization Frame Frequencies Based on=20
Syntactic and Multidimensional Statistical Analysis; A. Ushioda, et al.
14. Monte Carlo Parsing; R. Bod.
15. Stochastic Lexicalized Tree-Insertion Grammar; Y. Schabes, R.
Waters.
16. The Interplay of Syntactic and Semantic Node Labels in Parsing; D.=20
McDonald.
17. Integration of Morphological and Syntactic Analysis based on GLR=20
Parsing; H. Tanaka, et al.
18. Structural Disambiguation in Japanese by Case Structure Evaluation=20
Based on Examples in a Case Frame Dictionary; S. Kurohashi, M. Nagao.
19. Flowgraph Parsing; R. Lutz.
20. Predictive Parsing for Unordered Relational Languages; K.=20
Wittenburg.
Index.
Discipline codes:
COMPUTER AND INFORMATION SCIENCE: Natural Language
HUMANITIES: Computational Linguistics
MATHEMATICS: Algorithms
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ORDER INFORMATION
RECENT ADVANCES IN PARSING TECHNOLOGY
edited by Harry Bunt and Masaru Tomita
Kluwer Academic Publishers, Dordrecht
TEXT, SPEECH AND LANGUAGE TECHNOLOGY Series, Volume 1
August 1996, Hardbound, 432 pp.
ISBN 0-7923-4152-X
NLG 195.00 / USD 128.00 / GBP 86.00
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