Language, cognition, and computational models:
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge ; New York ; Melbourne ; New Delhi ; Singapore
Cambridge University Press
2018
|
| Schriftenreihe: | Studies in natural language processing
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030265755&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xvi, 322 Seiten Illustrationen, Diagramme |
| ISBN: | 9781107162228 |
Internformat
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| 245 | 1 | 0 | |a Language, cognition, and computational models |c edited by Thierry Poibeau (CNRS, Paris, France), Aline Villavicencio (Universidade Federal do Rio Grande do Sul, Brazil and University of Essex, UK) |
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Datensatz im Suchindex
| _version_ | 1819289135629729792 |
|---|---|
| adam_text | Contents
Figures page ix
Tables xi
Contributors xv
Part I About This Book
1 Introduction: Cognitive Issues in Natural Language
Processing 3
THIERRY POIBEAU AND ALINE VILLAVICENCIO
1.1 On the Relationships between Natural Language Processing and
Cognitive Sciences 3
1.2 Recent Issues in Cognitive Aspects of Language Modeling 8
1.3 Content and Structure of the Book 14
Part II Models of Neural and Cognitive Processing
2 Light and Deep Parsing: A Cognitive Model of Sentence
Processing 27
PHILIPPE BLACHE
2.1 Introduction 27
2.2 An Interdisciplinary View of Language Processing 28
2.3 The Theoretical Framework: Property Grammars 39
2.4 Chunks, Constructions, and Properties 42
2.5 The Hybrid Architecture 46
2.6 Conclusion 49
3 Decoding Language from the Brain 53
BRIAN MURPHY, LEILA WEHBE, AND ALONA FYSHE
3.1 Introduction 53
3.2 Grounding Language Architecture in the Brain 55
3.3 Decoding Words in the Brain 62
3.4 Phrases in the Brain 66
3.5 Stories in the Brain 68
3.6 Summary 72
v
VI
Contents
4 Graph Theory Applied to Speech: Insights on Cognitive
Deficit Diagnosis and Dream Research 81
NATALIA BEZERRA MOTA, MAURO COPELLI, AND
SIDARTA RIBEIRO
4.1 Introduction 82
4.2 Semantic Analysis for the Diagnosis of Psychosis 84
4.3 What Is a Speech Graph? 85
4.4 Speech Graphs as a Strategy to Quantify Symptoms on
Psychosis 88
4.5 Differences in Speech Graphs due to Content (waking x dream
reports) 92
4.6 Speech Graphs Applied to Dementia 94
4.7 Future Perspectives 96
Part III Data Driven Models
5 Putting Linguistics Back into Computational Linguistics 101
MARTIN KAY
5.1 Explicit and Implicit Information 101
5.2 Features 108
5.3 Linguistic Computation and Computational Linguistics 114
5.4 Conclusion 116
6 A Distributional Model of Verb-Specific Semantic Roles
Inferences 118
GIANLUCA E. LEBANI AND ALESSANDRO LENCI
6.1 Representing and Acquiring Thematic Roles 119
6.2 Characterizing the Semantic Content of Verb Proto-roles 122
6.3 A Distributional Model of Thematic Roles 130
6.4 Experiments with Our Neo-Davidsonian Model 139
6.5 Conclusion 148
7 Native Language Identification on EFCAMDAT 159
XIAO JIANG, YAN HUANG, YUFAN GUO, JEROEN
GEERTZEN, THEODORA ALEXOPOULOU, LIN SUN, AND
ANNA KORHONEN
7.1 Introduction 159
7.2 Data 165
7.3 Methods 168
7.4 Results 172
7.5 Conclusion 181
8 Evaluating Language Acquisition Models: A Utility-Based
Look at Bayesian Segmentation 185
LISA PEARL AND LAWRENCE PHILLIPS
8.1 Introduction 185
8.2 Early Speech Segmentation 187
Contents
vii
8.3 A Bayesian Segmentation Strategy 190
8.4 How Well Does This Work Cross-Linguistically? 196
8.5 How Useful Are the Units? 207
8.6 Closing Thoughts 219
Part IV Social and Language Evolution
9 Social Evolution of Public Languages: Between Rousseau’s
Eden and Hobbes’ Leviathan 227
ANNE REBOUL
9.1 Introduction 227
9.2 Is Language a Communication System in the Strong Sense? 228
9.3 What is the Proper Social Account for the Exaptation of Language
for Communication? 233
9.4 Conclusion 250
10 Genetic Biases in Language: Computer Models and
Experimental Approaches 256
RICK JANSSEN AND DAN DEDIU
10.1 Introduction 256
10.2 Computer Models of Cultural Evolution 262
10.3 Cultural Feedback ^ 278
10.4 Conclusion 281
11 Transparency versus Processing Efficiency: A Case Study
on German Declension 289
REMI VAN TRIJP
11.1. Introduction 289
11.2 German Declension: Not as Awful as It Seems 290
11.3 Evaluating the Efficiency of Syncretism 300
11.4 Discussion and Conclusions 314
Index 319
|
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| title | Language, cognition, and computational models |
| title_auth | Language, cognition, and computational models |
| title_exact_search | Language, cognition, and computational models |
| title_full | Language, cognition, and computational models edited by Thierry Poibeau (CNRS, Paris, France), Aline Villavicencio (Universidade Federal do Rio Grande do Sul, Brazil and University of Essex, UK) |
| title_fullStr | Language, cognition, and computational models edited by Thierry Poibeau (CNRS, Paris, France), Aline Villavicencio (Universidade Federal do Rio Grande do Sul, Brazil and University of Essex, UK) |
| title_full_unstemmed | Language, cognition, and computational models edited by Thierry Poibeau (CNRS, Paris, France), Aline Villavicencio (Universidade Federal do Rio Grande do Sul, Brazil and University of Essex, UK) |
| title_short | Language, cognition, and computational models |
| title_sort | language cognition and computational models |
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