ISBN:
9783642318634
,
1299197604
,
9781299197602
Language:
English
Pages:
Online-Ressource (XIV, 320 p. 60 illus., 13 illus. in color, digital)
Series Statement:
Theory and Applications of Natural Language Processing
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Buchausg. u.d.T. Cognitive aspects of computational language acquisition
Keywords:
Computer science
;
Computer Science
;
Artificial intelligence
;
Translators (Computer programs)
;
Psycholinguistics
;
Computer science
;
Artificial intelligence
;
Translators (Computer programs)
;
Psycholinguistics
;
Aufsatzsammlung
;
Spracherwerb
;
Computerlinguistik
Abstract:
Language Learning -- T.Poibeau, A.Villavicencio, A.Korhonen and A.Alishahi -- Part I Methods and Tools for Investigating Phonetics and Phonology -- Phon: A Computational Basis for Phonological Database Building and Model Testing. Y.Rose, G. J. Hedlund, R.Byrne, T.Wareham, and B.MacWhinney -- Language Dynamics in the Framework of Complex Networks: A Case Study on Self-organization of the Consonant Inventories. A.Mukherjee, M.Choudhury, N.Ganguly, and A.Basu -- Part II Classifying Words and Mapping them to Meanings -- From Cues to Categories: A Computational Study of Children’s Early Word Categorization. F.Torabi Asr, A.Fazly, and Z.Azimifar -- In Learning Nouns and Adjectives Remembering Matters: a Cortical Model. A.Plebe, V.M.De la Cruz and M.Mazzone -- Part III Learning Morphology and Syntax -- Treebank Parsing and Knowledge of Language. S.Fong, I.Malioutov, B.Yankama, and R.C.Berwick -- Rethinking the Syntactic Burst in Young Children. C.Parisse -- Part IV Linking Syntax to Semantics -- Learning to Interpret Novel Noun-Noun Compounds: Evidence from Category Learning Experiments. B.J.Devereux and F.J.Costello -- Child Acquisition of Multiword Verbs: A Computational Investigation. A.Nematzadeh, A.Fazly, and S.Stevenson -- Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision -- M.Connor, C.Fisher and D.Roth -- Gradual Acquisition of Verb Selectional Preferences in a Bayesian Model. A.Alishahi and S.Stevenson -- References -- Glossary -- Index
Abstract:
Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues. The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including: * Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasks Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial
Description / Table of Contents:
Cognitive Aspects of Computational Language Acquisition; Acknowledgements; Contents; Contributors; Computational Modeling as a Methodology for Studying Human Language Learning; 1 Overview; 1.1 Theoretical Accounts of Language Modularity and Learnability; 1.2 Investigations of Linguistic Hypotheses; 2 Computational Models of Language Learning; 2.1 What to Expect from a Model; 2.2 Modeling Frameworks; 2.3 Research Methods; 3 Impact of Computational Modeling on the Study of Language; 4 This Collection; 4.1 Methods and Tools for Investigating Phonetics and Phonology
Description / Table of Contents:
4.2 Classifying Words and Mapping Them to Meanings4.3 Learning Morphology and Syntax; 4.4 Linking Syntax to Semantics; 5 Concluding Remarks; References; Part I Methods and Tools for Investigating Phonetics and Phonology; Phon: A Computational Basis for Phonological Database Building and Model Testing; 1 Introduction; 2 The PhonBank Project; 2.1 PhonBank; 2.2 Phon; 3 Phon; 3.1 Project Management; 3.2 Media Linkage and Segmentation; 3.3 Data Transcription; 3.4 Multiple-Blind Transcription and Transcript Validation; 3.5 Transcribed Utterance Segmentation; 3.6 Syllabification Algorithm
Description / Table of Contents:
3.7 Alignment Algorithm4 Database Query; 4.1 Terminology; 4.2 Executing a Query; 4.3 Creating a Query; 4.4 An Illustrative Example; 4.5 Additional Information; 5 Future Projects; 5.1 Interface for Acoustic Data; 5.2 Extensions of Database Query Functionality; 6 Discussion; References; Language Dynamics in the Framework of Complex Networks: A Case Study on Self-Organization of the Consonant Inventories; 1 Introduction; 2 Phonological Inventories: A Primer; 3 Network Model of Consonant Inventories; 3.1 Definition of PlaNet; 3.2 Construction Methodology; 4 Topological Properties of PlaNet
Description / Table of Contents:
4.1 Degree Distribution of PlaNet4.1.1 Degree Distribution of the Language Nodes; 4.1.2 Degree Distribution of the Consonant Nodes; 5 The Synthesis Model; 6 Interpretation of the Synthesis Model; 6.1 Mathematical Analysis of the Model; 6.2 Linguistic Interpretation of the Model; 7 Dynamics of the Language Families; 8 Conclusion; Appendix; References; Part II Classifying Words and Mapping Them to Meanings; From Cues to Categories: A Computational Study of Children's Early Word Categorization; 1 Introduction; 2 Related Work; 2.1 Experimental and Corpus-Based Studies
Description / Table of Contents:
2.2 Related Computational Models3 Overview of This Study; 4 Components of the Categorization Model; 4.1 Categorization Algorithm; 4.2 Cues Used in Categorization; 5 Experimental Setup; 5.1 Corpus; 5.2 Feature Extraction; 5.3 Model Parameters; 6 Discovering Syntactic Categories; 6.1 Evaluation Strategy; 6.2 Novel Word Categorization; 7 Word Categorization and Semantic Prediction; 7.1 Semantic Feature Prediction; 7.2 Simulation of the Brown Experiment; 8 Conclusions and Future Directions; Appendix; References; In Learning Nouns and Adjectives Remembering Matters: A Cortical Model
Description / Table of Contents:
1 Introduction
Note:
Description based upon print version of record
DOI:
10.1007/978-3-642-31863-4
URL:
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