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KLUWER ACADEMIC PUBLISHERS
TEXT, SPEECH AND LANGUAGE TECHNOLOGY Series, Volume 1
Series editors: Nancy Ide and Jean Veronis
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
Parsing technologies are concerned with the automatic decomposition of
complex structures into their constituent parts, with structures in
formal or natural languages as their main, but certainly not their only,
domain of application. The focus of Recent Advances in Parsing Technology
is on parsing technologies for linguistic structures, but it also contains
chapters concerned with parsing two or more dimensional languages.
New and improved parsing technologies are important not only for achieving
better performance in terms of efficiency, robustness, coverage, etc.,
but also because the developments in areas related to natural language
processing give rise to new requirements on parsing technologies.
Ongoing research in the areas of formal and computational linguistics
and artificial intelligence lead to new formalisms for the representation
of linguistic knowledge, and these formalisms and their application in
such areas as machine translation and language-based interfaces call for
new, effective approaches to parsing. Moreover, advances in speech
technology and multimedia applications cause an increasing demand for
parsing technologies where language, speech, and other modalities are
fully integrated.
Recent Advances in Parsing Technology presents an overview of recent
developments in this area with an emphasis on new approaches for parsing
modern, constraint-based formalisms on stochastic approaches to parsing,
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
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. van
der Sloot.
7. Proof Theory for HPSG Parsing; S. Raaijmakers.
8. Efficient Parsing of Compiled Typed Attribute-Value Logic Grammars;
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
Context-Free Grammars; A. Lavie, M. Tomita.
11. Evaluation of the Tagged Text Parser, A Preliminary Report; T.
Strzalkowski, P. Scheyen.
12. Learning to Parse with Transformations; E. Brill.
13. Estimation of Verb Subcategorization Frame Frequencies Based on
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.
McDonald.
17. Integration of Morphological and Syntactic Analysis based on GLR
Parsing; H. Tanaka, et al.
18. Structural Disambiguation in Japanese by Case Structure Evaluation
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.
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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