Recent advances in parsing technology:
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 t...
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Dordrecht [u.a.]
Kluwer Acad. Publ.
1996
|
Schriftenreihe: | Text, speech and language technology
1 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | 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 |
Beschreibung: | XV, 415 S. graph. Darst. |
ISBN: | 079234152X |
Internformat
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520 | 3 | |a 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 | |
520 | |a 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 | ||
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Datensatz im Suchindex
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adam_text | Recent Advances
in Parsing Technology
Edited by
Harry Bunt
Center for Language, Information and Artificial Intelligence,
Tilburg University, Tilburg, The Netherlands
and
Masaru Tomita
Institute for Environmental Sciences,
Keio University, Fujisawa, Japan
KLUWER ACADEMIC PUBLISHERS
DORDRECHT / BOSTON / LONDON
Contents
Contributing Authors xi
Acknowledgements xv
1 Parsing Technologies, and Why We Need Them 1
Harry Bunt
1 1 Parsing Technologies 1
1 2 About this book 4
2 Fully Incremental Parsing 11
Mats Wiren and Ralph Rdnnquist
2 1 Introduction 11
2 2 The Change-Update Loop 14
2 3 Reparsing 15
2 4 The Affected and Regenerated Sets 17
2 5 The Disturbance Set 20
2 6 Primitive Changes 27
2 7 Formal Properties 28
2 8 Implementation 31
2 9 Conclusions 31
3 Increasing the Applicability of LR Parsing 35
Mark-Jan Nederhof and Janos Sarbo
3 1 Introduction 35
3 2 Hidden left recursion and LR parsing 38
3 3 Correctness of e-LR parsing 48
CONTENTS
3 4 Calculation of items 50
3 5 Memory requirements 53
3 6 Conclusions 56
Towards a Formal Understanding of the Determinism Hy-
pothesis in D-Theory 59
James Rogers and K Vijay-Shanker
4 1 Introduction 60
4 2 D-Theory and the Determinism Hypothesis 61
4 3 Formalization 65
4 4 Consequences for the D-Theory Parsers 72
4 5 Conclusion 77
Varieties of Heuristics in Sentence Parsing 79
Makoto Nagao
5 1 Kinds of grammar and their characteristics 79
5 2 Varieties of heuristic components in parsing sentences 83
5 3 Staged design for parsing sentences 87
5 4 Conclusion 90
Parsing as Dynamic Interpretation of Feature Structures 91
Harry Bunt and Ko van der Sloot
6 1 Introduction: the status of feature structures 91
6 2 Feature structures as formal-language expressions 93
6 3 Feature structures in the GEL language 95
6 4 Parsing as model-theoretic interpretation 102
6 5 Conclusions and future work 113
Proof Theory for HPSG Parsing 115
Stephan Raaijmakers
7 1 Introduction 115
7 2 An Overview of HPSG 116
7 3 Binary-branching HPSG 121
7 4 Deduction for HPSG 124
7 5 Implementation 137
7 6 Lexical entries 141
7 7 Performance 141
7 8 Conclusions 143
CONTENTS vii
8 Efficient Parsing of Compiled Typed Attribute-Value Logic
Grammars 145
Bob Carpenter and Gerald Penn
8 1 Compiling Type Definitions 145
8 2 Compiling Basic Operations 148
8 3 Compiling Descriptions 153
8 4 Compiling Grammars and Programs 155
8 5 Extensional Types 159
8 6 Inequations 162
8 7 Type Constraints 166
8 8 Conclusion 167
9 Predictive Head-Corner Chart Parsing 169
Klaas Sikkel and Rieks op den Akker
9 1 Introduction 169
9 2 Chart parsing 170
9 3 Left-corner chart parsing 172
9 4 Head-Corner chart parsing 175
9 5 Complexity analysis and further optimizations 177
9 6 Extension with feature structures 180
9 7 Related approaches 180
9 8 Conclusions 181
10 GLR* - An Efficient Noise-Skipping Parsing Algorithm for
Context-Free Grammars 183
Aaron Lavie and Masaru Tomita
10 1 Introduction 183
10 2 The GLR* Parsing Algorithm 185
10 3 The Beam Search Heuristic 195
10 4 Parsing of Spontaneous Speech Using GLR* 196
10 5 Conclusions and Future Research Directions 199
11 Evaluation of the Tagged Text Parser, A Preliminary Re-
port 201
Tomek Strzalkowski and Peter Scheyen
11 1 Overview 201
11 2 Introduction to Tagged Text Parser 203
11 3 The TTP Time-out Mechanism 206
11 4 Parser Evaluation with Parseval 210
viii CONTENTS
11 5 Evaluation of TTP 213
11 6 Conclusions 215
12 Learning to Parse with Transformations 221
Eric Brill
12 1 Introduction 221
12 2 Transformation-based, Error-driven Learning 222
12 3 Learning Phrase Structure 223
12 4 Results 229
12 5 Sample Output 235
12 6 Assigning Nonterminal Labels 237
12 7 Conclusions 239
13 Estimation of Verb Subcategorization Frame Frequencies ba-
sed on Syntactic and Multidimensional Statistical Analysis 241
Akira Ushioda, David Evans, Ted Gibson and Alex Waibel
13 1 Introduction 241
13 2 Method 243
13 3 Experiment on Wall Street Journal Corpus 243
13 4 Statistical Analysis 248
13 5 Conclusion and Future Direction 252
14 Monte Carlo Parsing 255
Rens Bod
14 1 Introduction 255
14 2 The Data-Oriented Parsing Framework 257
14 3 DOP as a Stochastic Tree-Substitution Grammar 263
14 4 Parsing and Disambiguation in DOP 264
14 5 Experiments with DOP 272
14 6 Conclusions 278
15 Stochastic Lexicalized Tree-Insertion Grammar 281
Yves Schabes and Richard Waters
15 1 Motivation 281
15 2 LTIG 283
15 3 Stochastic LTIG 288
15 4 Parsing SLTIG 289
15 5 Training an SLTIG 293
15 6 Conclusion 293
CONTENTS ix
16 The Interplay of Syntactic and Semantic Node Labels in
Parsing 295
David McDonald
16 1 State of the Art Demands 295
16 2 Partial Parsing 296
16 3 Semantic Grammars 298
16 4 Parsing to Objects 302
16 5 Defining Parsing Rules Schematically 306
16 6 A Parsing Example 311
16 7 Form Rules 314
16 8 Concluding Remarks 320
17 Integration of Morphological and Syntactic Analysis based
on GLR Parsing 325
Hozumi Tanaka, Takenobu Tokunaga and Michio Aizawa
17 1 Introduction 325
17 2 Morphological Analysis of Japanese 328
17 3 Generating An LR Table 330
17 4 Algorithm 334
17 5 A worked example 335
17 6 Conclusion 340
18 Structural Disambiguation in Japanese by Case Structure
Evaluation based on Examples in a Case Frame Dictionary 343
Sadao Kurohashi and Makoto Nagao
18 1 Introduction 343
18 2 Selecting a Proper Case Frame 345
18 3 Structural Disambiguation using Case Structure Score 349
18 4 Experiment 355
18 5 Conclusions 357
19 Flowgraph Parsing 359
Rudi Lutz
19 1 Introduction and Motivation 359
19 2 Notation and Definitions 360
19 3 Chart Parsing of Context-free Flowgraphs 363
19 4 Complexity Analysis 368
19 5 Dealing With Attributes 372
19 6 Dealing With Tie-Point Relationships 372
x CONTENTS
19 7 Chart Parsing of Structure-Sharing Flowgraphs 378
19 8 Conclusions 381
20 Predictive Parsing for Unordered Relational Languages 385
Kent Wittenburg
20 1 Introduction 385
20 2 Atomic Relational Grammars 388
20 3 Parsing Preliminaries 395
20 4 Preliminaries to a Parser 396
20 5 Earley-style Recognition for ARGs 400
20 6 Parse trace 403
20 7 Conclusion 404
Index 409
|
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spelling | Recent advances in parsing technology ed. by Harry Bunt ... Dordrecht [u.a.] Kluwer Acad. Publ. 1996 XV, 415 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Text, speech and language technology 1 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 Analyse automatique (linguistique) ram Grammaire en réseaux ram Langage naturel, Traitement du (informatique) ram Linguistique - Informatique ram Parsing gtt analyse syntaxique inriac formalisme inriac grammaire LR inriac japonais inriac linguistique inriac traduction automatique inriac Parsing (Computer grammar) Syntaktische Analyse (DE-588)4058778-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift gnd-content Syntaktische Analyse (DE-588)4058778-2 s DE-604 Bunt, Harry C. 1944- Sonstige (DE-588)120930293 oth Text, speech and language technology 1 (DE-604)BV011123931 1 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007453461&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Recent advances in parsing technology Text, speech and language technology Analyse automatique (linguistique) ram Grammaire en réseaux ram Langage naturel, Traitement du (informatique) ram Linguistique - Informatique ram Parsing gtt analyse syntaxique inriac formalisme inriac grammaire LR inriac japonais inriac linguistique inriac traduction automatique inriac Parsing (Computer grammar) Syntaktische Analyse (DE-588)4058778-2 gnd |
subject_GND | (DE-588)4058778-2 (DE-588)4143413-4 (DE-588)1071861417 |
title | Recent advances in parsing technology |
title_auth | Recent advances in parsing technology |
title_exact_search | Recent advances in parsing technology |
title_full | Recent advances in parsing technology ed. by Harry Bunt ... |
title_fullStr | Recent advances in parsing technology ed. by Harry Bunt ... |
title_full_unstemmed | Recent advances in parsing technology ed. by Harry Bunt ... |
title_short | Recent advances in parsing technology |
title_sort | recent advances in parsing technology |
topic | Analyse automatique (linguistique) ram Grammaire en réseaux ram Langage naturel, Traitement du (informatique) ram Linguistique - Informatique ram Parsing gtt analyse syntaxique inriac formalisme inriac grammaire LR inriac japonais inriac linguistique inriac traduction automatique inriac Parsing (Computer grammar) Syntaktische Analyse (DE-588)4058778-2 gnd |
topic_facet | Analyse automatique (linguistique) Grammaire en réseaux Langage naturel, Traitement du (informatique) Linguistique - Informatique Parsing analyse syntaxique formalisme grammaire LR japonais linguistique traduction automatique Parsing (Computer grammar) Syntaktische Analyse Aufsatzsammlung Konferenzschrift |
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