Recent Advances in Parsing Technology
(Sprache: Englisch)
In Marcus (1980), deterministic parsers were introduced. These are parsers which satisfy the conditions of Marcus's determinism hypothesis, i.e., they are strongly deterministic in the sense that they do not simulate non determinism in any way. In later...
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In Marcus (1980), deterministic parsers were introduced. These are parsers which satisfy the conditions of Marcus's determinism hypothesis, i.e., they are strongly deterministic in the sense that they do not simulate non determinism in any way. In later work (Marcus et al. 1983) these parsers were modified to construct descriptions of trees rather than the trees them selves. The resulting D-theory parsers, by working with these descriptions, are capable of capturing a certain amount of ambiguity in the structures they build. In this context, it is not clear what it means for a parser to meet the conditions of the determinism hypothesis. The object of this work is to clarify this and other issues pertaining to D-theory parsers and to provide a framework within which these issues can be examined formally. Thus we have a very narrow scope. We make no ar guments about the linguistic issues D-theory parsers are meant to address, their relation to other parsing formalisms or the notion of determinism in general. Rather we focus on issues internal to D-theory parsers themselves.
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. 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, eff
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. 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, eff
Inhaltsverzeichnis zu „Recent Advances in Parsing Technology “
1. Parsing Technologies, and Why We Need Them; H. Bunt 2. Fully Incremental Parsing; M. Wirén, R. Rönnquist
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
- Indexree Grammars; A. Lavie, M. Tomita
11. Evaluation of the Tagged Text Parser, A Preliminary Report; T. Strzalkowski, P. Scheyen
12. Learning t
Bibliographische Angaben
- 2001, Softcover reprint of the original 1st ed. 1996, 432 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: H. Bunt, Masaru Tomita
- Verlag: Springer Netherlands
- ISBN-10: 1402003714
- ISBN-13: 9781402003714
Sprache:
Englisch
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