New Methods in Language Processing

Overview

Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.
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New Methods In Language Processing

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Overview

Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.
Read More Show Less

Product Details

  • ISBN-13: 9781857287110
  • Publisher: Taylor & Francis
  • Publication date: 6/28/1997
  • Series: Studies in Computational Linguistics
  • Pages: 400
  • Product dimensions: 6.50 (w) x 9.40 (h) x 1.20 (d)

Table of Contents

List of contributors
Preface
Pt. I Analogy-based methods 1
1 Skousen's analogical modelling algorithm: a comparison with lazy learning 3
2 Analogy, computation and linguistic theory 16
3 Constraints and preferences at work: an analogy-based approach to parsing grammatical relations 35
Pt. II Connectionist methods 53
4 Towards a hybrid abstract generation system 55
5 Recurrent neural networks and natural language parsing 69
6 Learning the semantics of aspect 83
7 Experiments in robust parsing with a Guided Propagation Network 96
8 Learning semantic relationships and syntactic roles in a simple recurrent network 113
Pt. III Corpus-based methods 123
9 A system for automating concordance line selection 125
10 A machine learning approach to anaphoric reference 133
11 Some methods for the extraction of bilingual terminology 145
12 Probabilistic part-of-speech tagging using decision trees 154
13 A new direction for sublanguage NLP 165
14 Efficient disambiguation by means of stochastic tree-substitution grammars 178
Pt. IV Example-based Machine Translation 197
15 Towards automatically aligning German compounds with English word groups 199
16 Corpus-based acquisition of transfer functions using psycholinguistic principles 207
17 A natural-language-translation neural network 219
18 Direct parse-tree translation in co-operation with the transfer method 229
Pt. V Statistical approaches 239
19 Evaluating the information gain of probability-based PP-disambiguation methods 241
20 Automatic error detection in part-of-speech tagging 256
21 A method of parsing English based on sentence form 269
22 A new approach to "center" tracking 282
23 Structuring raw discourse 288
Pt. VI Hybrid approaches 299
24 Coarse-grained parallelism in natural language understanding: parsing as message passing 301
25 A stochastic Government-Binding parser 318
26 Evolutionary algorithms for dialogue optimization as an example of a hybrid NLP system 331
27 More for less: learning a wide covering grammar from a small training set 344
Pt. VII Methodological issues 355
28 Software reuse, object-oriented frameworks and NLP 357
Index 367
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