Cognitive aspects of computational language acquisition:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2013
|
| Schriftenreihe: | Theory and applications of natural language processing
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben Weitere Ausgabe: Online-Ausg., Cognitive Aspects of Computational Language Acquisition |
| Beschreibung: | XIV, 320 S. graph. Darst. 25 cm |
| ISBN: | 9783642318627 3642318622 |
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Datensatz im Suchindex
| _version_ | 1806324842309353472 |
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CONTENTS
COMPUTATIONAL MODELING AS A METHODOLOGY FOR STUDYING
HUMAN LANGUAGE LEARNING 1
THIERRY POIBEAU, ALINE VILLAVICENCIO, ANNA KORHONEN,
AND AFRA ALISHAHI
1 OVERVIEW 1
1.1 THEORETICAL ACCOUNTS OF LANGUAGE MODULARITY AND LEARNABILITY 2
1.2 INVESTIGATIONS OF LINGUISTIC HYPOTHESES 5
2 COMPUTATIONAL MODELS OF LANGUAGE LEARNING 7
2.1 WHAT TO EXPECT FROM A MODEL 8
2.2 MODELING FRAMEWORKS 10
2.3 RESEARCH METHODS 13
3 IMPACT OF COMPUTATIONAL MODELING ON THE STUDY OF LANGUAGE 16
4 THIS COLLECTION 17
4.1 METHODS AND TOOLS FOR INVESTIGATING PHONETICS AND PHONOLOGY 17
4.2 CLASSIFYING WORDS AND MAPPING THEM TO MEANINGS 18
4.3 LEARNING MORPHOLOGY AND
SYNTAX 19
4.4 LINKING SYNTAX TO SEMANTICS 20
5 CONCLUDING REMARKS 22
REFERENCES 22
PART I METHODS AND TOOLS FOR INVESTIGATING PHONETICS AND
PHONOLOGY
PHON: A COMPUTATIONAL BASIS FOR PHONOLOGICAL DATABASE
BUILDING AND MODEL TESTING 29
YVAN ROSE, GREGORY J. HEDLUND, ROD BYRNE, TODD WAREHAM, AND
BRIAN MACWHINNEY
1 INTRODUCTION 29
2 THE PHONBANK PROJECT 31
2.1 PHONBANK 31
2.2 PHON 32
VII
HTTP://D-NB.INFO/1023650797
V
JJJ CONTENTS
3 PHON 32
3.1 PROJECT MANAGEMENT 33
3.2 MEDIA LINKAGE
AND SEGMENTATION 34
3.3 DATA TRANSCRIPTION 34
3.4 MULTIPLE-BLIND TRANSCRIPTION AND TRANSCRIPT VALIDATION 35
3.5 TRANSCRIBED UTTERANCE SEGMENTATION 36
3.6 SYLLABIFICATION ALGORITHM 36
3.7 ALIGNMENT ALGORITHM 38
4 DATABASE QUERY 40
4.1 TERMINOLOGY 40
4.2 EXECUTING A QUERY 41
4.3 CREATING A QUERY 42
4.4 AN ILLUSTRATIVE EXAMPLE 42
4.5 ADDITIONAL INFORMATION 44
5 FUTURE PROJECTS 45
5.1 INTERFACE FOR ACOUSTIC DATA 45
5.2 EXTENSIONS OF DATABASE QUERY FUNCTIONALITY 46
6 DISCUSSION 47
REFERENCES 48
LANGUAGE DYNAMICS IN THE FRAMEWORK OF COMPLEX NETWORKS:
A CASE STUDY ON SELF-ORGANIZATION OF THE CONSONANT INVENTORIES 51
ANIMESH MUKHERJEE, MONOJIT CHOUDHURY, NILOY GANGULY, AND
ANUPAM BASU
1 INTRODUCTION 51
2 PHONOLOGICAL INVENTORIES: A PRIMER 53
3 NETWORK MODEL OF CONSONANT INVENTORIES 56
3.1 DEFINITION OF PLANET 56
3.2 CONSTRUCTION METHODOLOGY 57
4 TOPOLOGICAL PROPERTIES OF PLANET 58
4.1 DEGREE DISTRIBUTION OF PLANET 58
5 THE SYNTHESIS MODEL 61
6 INTERPRETATION OF THE SYNTHESIS MODEL 64
6.1 MATHEMATICAL ANALYSIS OF THE MODEL 64
6.2 LINGUISTIC INTERPRETATION OF THE MODEL 66
7 DYNAMICS OF THE LANGUAGE
FAMILIES 68
8 CONCLUSION 71
APPENDIX 72
REFERENCES 76
CONTENTS IX
PART II CLASSIFYING WORDS
AND MAPPING
THEM TO MEANINGS
FROM CUES TO CATEGORIES: A COMPUTATIONAL STUDY OF
CHILDREN'S EARLY WORD CATEGORIZATION 81
FATEMEH TORABI ASR, AFSANEH FAZLY, AND ZOHREH AZIMIFAR
1 INTRODUCTION 82
2 RELATED WORK 83
2.1 EXPERIMENTAL AND CORPUS-BASED STUDIES 84
2.2 RELATED COMPUTATIONAL MODELS 84
3 OVERVIEW OF THIS STUDY 85
4 COMPONENTS OF THE CATEGORIZATION MODEL 87
4.1 CATEGORIZATION ALGORITHM 87
4.2 CUES USED IN CATEGORIZATION 88
5 EXPERIMENTAL SETUP 89
5.1 CORPUS 89
5.2 FEATURE EXTRACTION 90
5.3 MODEL PARAMETERS 91
6 DISCOVERING SYNTACTIC CATEGORIES 91
6.1 EVALUATION STRATEGY 92
6.2 NOVEL WORD CATEGORIZATION 92
7 WORD CATEGORIZATION AND SEMANTIC PREDICTION 95
7.1 SEMANTIC FEATURE PREDICTION 96
7.2 SIMULATION OF THE BROWN EXPERIMENT 97
8 CONCLUSIONS AND FUTURE DIRECTIONS 99
APPENDIX 102
REFERENCES 102
IN LEARNING NOUNS AND ADJECTIVES REMEMBERING MATTERS:
A CORTICAL MODEL 105
ALESSIO PLEBE, VIVIAN M. DE LA CRUZ, AND MARCO MAZZONE
1 INTRODUCTION 105
1.1 ON LEARNING FIRST WORDS 106
1.2 ON LEARNING NOUNS 108
1.3 ON LEARNING ADJECTIVES 109
1.4 MODELING NOUN
AND ADJECTIVE ACQUISITION 110
2 DESCRIPTION OF THE MODEL ILL
2.1 BASIC UNITS OF THE
MODEL 112
2.2 THE VISUAL PATHWAY 113
2.3 AUDITORY PATHWAY 115
2.4 THE HIGHER
CORTICAL MAP 116
3 NOUNS AND ADJECTIVES ACQUISITION 118
3.1 SIMULATION OF INTRINSIC AND EXTRINSIC EXPERIENCE 119
3.2 EMERGENCE OF ORGANIZATION IN THE LOWER MAPS 120
3.3 REPRESENTATION OF NOUNS AND ADJECTIVES IN MODEL PFC 120
3.4 PATTERNS OF CONNECTIVITY OF NOUNS AND ADJECTIVES 123
X
CONTENTS
4 CONCLUSIONS 125
REFERENCES 125
PART III LEARNING MORPHOLOGY AND SYNTAX
TREEBANK PARSING AND KNOWLEDGE
OF LANGUAGE 133
SANDIWAY FONG, IGOR MALIOUTOV, BERACAH YANKAMA, AND ROBERT C.
BERWICK
1 INTRODUCTION: TREEBANK PARSING AND KNOWLEDGE OF LANGUAGE 133
2 EXPERIMENTAL METHODS 140
2.1 PARSING SYSTEMS USED 140
2.2 TRAINING DATA, TESTING, AND EVALUATION 140
3 CASE STUDY: PARSING WH-QUESTIONS AND QUESTIONBANK 141
3.1 AUGMENTING THE TRAINING DATA 143
4 PARSING AND TENSE: THE CASE OF READ 146
5
CASE
STUDY: PARSING PASSIVES BY LINGUISTIC REGULARIZATION 154
5.1 PASSIVE TRANSFORMATIONS: A PILOT STUDY 154
6 PARSING "UNNATURAL" LANGUAGES? 160
6.1 THE EXPERIMENTAL EMULATION 162
6.2 TRAINING, TESTING AND RESULTS 163
7 DISCUSSION AND CONCLUSIONS 167
REFERENCES 169
RETHINKING THE SYNTACTIC BURST IN YOUNG CHILDREN 173
CHRISTOPHE PARISSE
1 INTRODUCTION 173
2 ASSUMPTIONS ABOUT
CHILDREN'S BEHAVIOR 174
3 A TESTING PROCEDURE IN THREE STEPS 175
4 ANALYSIS 1 177
5 ANALYSIS 2 179
6 ANALYSIS 3 182
6.1 RESULTS AND DISCUSSION: QUESTION 1 183
6.2 RESULTS AND DISCUSSION: QUESTION 2 184
7 ANALYSIS 4 187
8 DISCUSSION 188
APPENDIX 192
REFERENCES 194
PART IV LINKING SYNTAX TO SEMANTICS
LEARNING TO INTERPRET NOVEL NOUN-NOUN COMPOUNDS:
EVIDENCE FROM
CATEGORY LEARNING EXPERIMENTS 199
BARRY J. DEVEREUX* AND FINTAN J. COSTELLO
1 INTRODUCTION 200
2 AN EXEMPLAR-BASED ACCOUNT OF COMPOUND INTERPRETATION 201
CONTENTS XI
3 OVERVIEW OF EXPERIMENTS 202
4 EXPERIMENT 1 204
4.1 METHOD 205
4.2 RESULTS 211
4.3 DISCUSSION 215
5 EXPERIMENT 2 216
5.1 METHOD 217
5.2 RESULTS 219
5.3 MODELLING RELATION SELECTION IN COMPOUND INTERPRETATION 223
6 EXPERIMENT 3 225
6.1 METHOD 226
6.2 RESULTS 228
6.3 MODELLING RELATION SELECTION 231
7 CONCLUSIONS 231
REFERENCES 232
CHILD ACQUISITION OF MULTIWORD VERBS: A COMPUTATIONAL INVESTIGATION.
235
AIDA NEMATZADEH, AFSANEH FAZLY, AND SUZANNE STEVENSON
1 INTRODUCTION 236
2 MULTIWORD LEXEMES WITH BASIC VERBS 238
3 LINGUISTIC PROPERTIES AND THE USAGE-BASED MEASURES 239
3.1 ASSOCIATION OF A VERB-NOUN PAIR 240
3.2 SEMANTIC PROPERTIES OF THE NOUN 241
3.3 DEGREE OF SYNTACTIC FIXEDNESS 242
4 EVALUATING THE STATISTICAL MEASURES 243
4.1 EXPERIMENTAL SETUP 244
4.2 MEASURES IN COMBINATION: CLUSTERING 245
4.3 PERFORMANCE OF THE INDIVIDUAL MEASURES 246
5 EMBEDDING THE MEASURES INTO A WORD LEARNING MODEL 247
5.1 THE ORIGINAL WORD LEARNING MODEL 248
5.2 LEARNING THE VERB-NOUN MULTIWORD LEXEMES 249
5.3 EXPERIMENTS ON THE MODIFIED WORD LEARNER 250
6 CONCLUSIONS 252
REFERENCES 253
STARTING FROM SCRATCH IN SEMANTIC ROLE LABELING: EARLY
INDIRECT SUPERVISION 257
MICHAEL CONNOR, CYNTHIA FISHER, AND DAN ROTH
1 INTRODUCTION 257
1.1 ADDRESSING THE AMBIGUITY OF SENTENCES AND SCENES:
SEMANTIC AND SYNTACTIC BOOTSTRAPPING 258
1.2 HOW COULD SYNTACTIC BOOTSTRAPPING BEGIN? 260
2 BABYSRL AND RELATED COMPUTATIONAL MODELS 263
3 MODEL OF LANGUAGE ACQUISITION 267
3.1 CHILDES TRAINING DATA 268
3.2 LEARNING MODEL 269
XII CONTENTS
4 LATENT TRAINING 274
4.1 ARGUMENT, PREDICATE AND ROLE CLASSIFICATION 277
5 EXPERIMENTAL EVALUATION 280
5.1 AMBIGUOUS SEMANTIC FEEDBACK 282
6 RECOVERING ARGUMENT KNOWLEDGE 284
6.1 BOTTOM-UP ARGUMENT IDENTIFICATION 285
6.2 INTEGRATING INTO ONLINE LATENT CLASSIFIER 288
7 CONCLUSION 290
REFERENCES 293
GRADUAL ACQUISITION OF VERB SELECTIONAL PREFERENCES IN A
BAYESIAN MODEL 297
AFRA ALISHAHI AND SUZANNE STEVENSON
1 INTRODUCTION 297
1.1 VERB SELECTIONAL PREFERENCES 298
1.2 RELATED COMPUTATIONAL MODELS 299
1.3 OUR APPROACH 301
2 A COMPUTATIONAL MODEL OF LEARNING VERB SELECTIONAL PREFERENCES 302
2.1 LEARNING AS BAYESIAN CLUSTERING 303
2.2 PROBABILITIES OF SEMANTIC PROPERTIES 304
2.3 PREDICTING SEMANTIC PROFILES FOR VERBS 305
2.4 VERB-ARGUMENT
COMPATIBILITY 306
3 EXPERIMENTAL RESULTS 306
3.1 THE TRAINING DATA 307
3.2 FORMATION OF SEMANTIC PROFILES FOR VERBS 307
3.3 EVOLUTION OF VERB SEMANTIC PROFILES 310
3.4 VERB-ARGUMENT PLAUSIBILITY JUDGMENTS 313
4 DISCUSSION AND FUTURE DIRECTIONS 314
REFERENCES 315
INDEX 317 |
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| spelling | Cognitive aspects of computational language acquisition Aline Villavicencio ... ed. Berlin ; Heidelberg Springer 2013 XIV, 320 S. graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Theory and applications of natural language processing Literaturangaben Weitere Ausgabe: Online-Ausg., Cognitive Aspects of Computational Language Acquisition Spracherwerb (DE-588)4056458-7 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Spracherwerb (DE-588)4056458-7 s Computerlinguistik (DE-588)4035843-4 s DE-604 Villavicencio, Aline Sonstige oth B:DE-101 application/pdf http://d-nb.info/1023650797/04 Inhaltsverzeichnis X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4065108&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026013632&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Cognitive aspects of computational language acquisition |
| title_auth | Cognitive aspects of computational language acquisition |
| title_exact_search | Cognitive aspects of computational language acquisition |
| title_full | Cognitive aspects of computational language acquisition Aline Villavicencio ... ed. |
| title_fullStr | Cognitive aspects of computational language acquisition Aline Villavicencio ... ed. |
| title_full_unstemmed | Cognitive aspects of computational language acquisition Aline Villavicencio ... ed. |
| title_short | Cognitive aspects of computational language acquisition |
| title_sort | cognitive aspects of computational language acquisition |
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