Computational and corpus linguistics Books
Cambridge University Press Big Data in the Psychological Sciences
£80.75
Cambridge University Press Indian Englishes in the TwentyFirst Century
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£47.49
Cambridge University Press The Philosophy of Linguistics
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£52.25
Cambridge University Press Phonology in Language Documentation
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£18.00
Cambridge University Press Generative AI in Computer Science Education
Book SynopsisGenerative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.
£47.49
Cambridge University Press Speech Technology
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£95.00
Cambridge University Press English Corpus Linguistics
Now in its second edition, this is a step-by-step guide to creating and analyzing linguistic corpora. It has been extensively updated to reflect the new developments in this rapidly evolving field, and is illustrated with a wide range of examples, making it essential reading for students in all areas of linguistics.
£21.84
Cambridge University Press Data and Methods in Corpus Linguistics
Book Synopsis
£24.69
Cambridge University Press Conducting Sentiment Analysis
Book SynopsisThis Element provides a basic introduction to sentiment analysis, aimed at helping students and professionals in corpus linguistics to understand what sentiment analysis is, how it is conducted, and where it can be applied. It begins with a definition of sentiment analysis and a discussion of the domains where sentiment analysis is conducted and used the most. Then, it introduces two main methods that are commonly used in sentiment analysis known as supervised machine-learning and unsupervised learning (or lexicon-based) methods, followed by a step-by-step explanation of how to perform sentiment analysis with R. The Element then provides two detailed examples or cases of sentiment and emotion analysis, with one using an unsupervised method and the other using a supervised learning method.Table of Contents1. Sentiment analysis: Background; 2. Methods for sentiment analysis; 3. How to do sentiment analysis with R; 4. Case study 1: A diachronic analysis of sentiments and emotions in the State of the Union Addresses; 5. Case study 2: A sentiment and emotion analysis of movie reviews; 6. Conclusion: Where we are and where we are heading; References.
£17.00
John Wiley & Sons Inc Mathematical Models for Speech Technology
Book SynopsisPresents the motivations for, intuitions behind, and basic mathematical models of natural spoken language communication. This book offers an overview of various aspects of the problem from the physics of speech production through the hierarchy of linguistic structure and ending with some observations on language and mind.Trade Review"...a succinct presentation of the most important mathematical technology of speech technology and the author's ideas for overcoming the limitations of these techniques…" (Mathematical Reviews, 2005j)Table of ContentsAuthor's preface. 1 Introduction 2 Preliminaries 2.1 The physics of speech production 2.2 The source-filter model 2.3 Information-bearing features of the speech signal 2.4 Time-frequency representations 2.5 Classifications of acoustic patterns in speech 2.6 Temporal invariance and stationarity 2.7 Taxonomy of linguistic structure 3 Mathematical models of linguistic structure 3.1 Probabilistic functions of a discrete Markov process 3.2 Formal grammars and abstract automata 4 Syntactic analysis 4.1 Deterministic parsing algorithms 4.2 Probabilistic parsing algorithms 4.3 Parsing natural language 5 Grammatical inference 5.1 Exact inference and Gold's theorem 5.2 Baum's algorithm for regular grammars 5.3 Event counting in parse trees 5.4 Baker's algorithm for context-free grammars 6 Information-theoretic analysis of speech communication 6.1 The Miller et al. experiments 6.2 Entropy of an information source 6.3 Recognition error rates and entropy 7 Automatic speech recognition and constructive theories of language 7.1 Integrated architectures 7.2 Modular architectures 7.3 Parameter estimation from fluent speech 7.4 System performance 7.5 Other speech technologies 8 Automatic speech understanding and semantics 8.1 Transcription and comprehension 8.2 Limited domain semantics 8.3 The semantics of natural language 8.4 System architectures 8.5 Human and machine performance 9 Theories of mind and language 9.1 The challenge of automatic natural language understanding 9.2 Metaphors for mind 9.3 The artificial intelligence program 10 A speculation on the prospects for a science of the mind 10.1 The parable of the thermos bottle: measurements and symbols 10.2 The four questions of science 10.3 A constructive theory of the mind 10.4 The problem of consciousness 10.5 The role of sensorimotor function, associative memory and reinforcement learning in automatic acquisition of spoken language by an autonomous robot 10.6 Final thoughts: predicting the course of discovery
£110.25
The University of Michigan Press Using Corpora in the Language Learning Classroom
Book SynopsisMakes the ideas of corpus linguistics accessible to teachers and, most important, provides ideas, instruction, and opportunities for teachers to use the applications of corpus linguistics in their classrooms. The book is intended for graduate students who are studying applied linguistics or TESOL, for teacher-trainers working with language instructors, and for practicing language teachers.
£999.99
John Wiley & Sons Inc Computational Paralinguistics
Book SynopsisThis book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (paralinguistics') expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art Table of ContentsPreface xiii Acknowledgements xv List of Abbreviations xvii Part I Foundations 1 Introduction 3 1.1 What is Computational Paralinguistics? A First Approximation 3 1.2 History and Subject Area 7 1.3 Form versus Function 10 1.4 Further Aspects 12 1.4.1 The Synthesis of Emotion and Personality 12 1.4.2 Multimodality: Analysis and Generation 13 1.4.3 Applications, Usability and Ethics 15 1.5 Summary and Structure of the Book 17 References 18 2 Taxonomies 21 2.1 Traits versus States 21 2.2 Acted versus Spontaneous 25 2.3 Complex versus Simple 30 2.4 Measured versus Assessed 31 2.5 Categorical versus Continuous 33 2.6 Felt versus Perceived 35 2.7 Intentional versus Instinctual 37 2.8 Consistent versus Discrepant 38 2.9 Private versus Social 39 2.10 Prototypical versus Peripheral 40 2.11 Universal versus Culture-Specific 41 2.12 Unimodal versus Multimodal 43 2.13 All These Taxonomies – So What? 44 2.13.1 Emotion Data: The FAU AEC 45 2.13.2 Non-native Data: The C-AuDiT corpus 47 References 48 3 Aspects of Modelling 53 3.1 Theories and Models of Personality 53 3.2 Theories and Models of Emotion and Affect 55 3.3 Type and Segmentation of Units 58 3.4 Typical versus Atypical Speech 60 3.5 Context 61 3.6 Lab versus Life, or Through the Looking Glass 62 3.7 Sheep and Goats, or Single Instance Decision versus Cumulative Evidence and Overall Performance 64 3.8 The Few and the Many, or How to Analyse a Hamburger 65 3.9 Reifications, and What You are Looking for is What You Get 67 3.10 Magical Numbers versus Sound Reasoning 68 References 74 4 Formal Aspects 79 4.1 The Linguistic Code and Beyond 79 4.2 The Non-Distinctive Use of Phonetic Elements 81 4.2.1 Segmental Level: The Case of /r/ Variants 81 4.2.2 Supra-segmental Level: The Case of Pitch and Fundamental Frequency – and of Other Prosodic Parameters 82 4.2.3 In Between: The Case of Other Voice Qualities, Especially Laryngealisation 86 4.3 The Non-Distinctive Use of Linguistics Elements 91 4.3.1 Words and Word Classes 91 4.3.2 Phrase Level: The Case of Filler Phrases and Hedges 94 4.4 Disfluencies 96 4.5 Non-Verbal, Vocal Events 98 4.6 Common Traits of Formal Aspects 100 References 101 5 Functional Aspects 107 5.1 Biological Trait Primitives 109 5.1.1 Speaker Characteristics 111 5.2 Cultural Trait Primitives 112 5.2.1 Speech Characteristics 114 5.3 Personality 115 5.4 Emotion and Affect 119 5.5 Subjectivity and Sentiment Analysis 123 5.6 Deviant Speech 124 5.6.1 Pathological Speech 125 5.6.2 Temporarily Deviant Speech 129 5.6.3 Non-native Speech 130 5.7 Social Signals 131 5.8 Discrepant Communication 135 5.8.1 Indirect Speech, Irony, and Sarcasm 136 5.8.2 Deceptive Speech 138 5.8.3 Off-Talk 139 5.9 Common Traits of Functional Aspects 140 References 141 6 Corpus Engineering 159 6.1 Annotation 160 6.1.1 Assessment of Annotations 161 6.1.2 New Trends 164 6.2 Corpora and Benchmarks: Some Examples 164 6.2.1 FAU Aibo Emotion Corpus 165 6.2.2 aGender Corpus 165 6.2.3 TUM AVIC Corpus 166 6.2.4 Alcohol Language Corpus 168 6.2.5 Sleepy Language Corpus 168 6.2.6 Speaker Personality Corpus 169 6.2.7 Speaker Likability Database 170 6.2.8 NKI CCRT Speech Corpus 171 6.2.9 TIMIT Database 171 6.2.10 Final Remarks on Databases 172 References 173 Part II Modelling 7 Computational Modelling of Paralinguistics: Overview 179 References 183 8 Acoustic Features 185 8.1 Digital Signal Representation 185 8.2 Short Time Analysis 187 8.3 Acoustic Segmentation 190 8.4 Continuous Descriptors 190 8.4.1 Intensity 190 8.4.2 Zero Crossings 191 8.4.3 Autocorrelation 192 8.4.4 Spectrum and Cepstrum 194 8.4.5 Linear Prediction 198 8.4.6 Line Spectral Pairs 202 8.4.7 Perceptual Linear Prediction 203 8.4.8 Formants 205 8.4.9 Fundamental Frequency and Voicing Probability 207 8.4.10 Jitter and Shimmer 212 8.4.11 Derived Low-Level Descriptors 214 References 214 9 Linguistic Features 217 9.1 Textual Descriptors 217 9.2 Preprocessing 218 9.3 Reduction 218 9.3.1 Stopping 218 9.3.2 Stemming 219 9.3.3 Tagging 219 9.4 Modelling 220 9.4.1 Vector Space Modelling 220 9.4.2 On-line Knowledge 222 References 227 10 Supra-segmental Features 230 10.1 Functionals 231 10.2 Feature Brute-Forcing 232 10.3 Feature Stacking 233 References 234 11 Machine-Based Modelling 235 11.1 Feature Relevance Analysis 235 11.2 Machine Learning 238 11.2.1 Static Classification 238 11.2.2 Dynamic Classification: Hidden Markov Models 256 11.2.3 Regression 262 11.3 Testing Protocols 264 11.3.1 Partitioning 264 11.3.2 Balancing 266 11.3.3 Performance Measures 267 11.3.4 Result Interpretation 272 References 277 12 System Integration and Application 281 12.1 Distributed Processing 281 12.2 Autonomous and Collaborative Learning 284 12.3 Confidence Measures 286 References 287 13 ‘Hands-On’: Existing Toolkits and Practical Tutorial 289 13.1 Related Toolkits 289 13.2 openSMILE 290 13.2.1 Available Feature Extractors 293 13.3 Practical Computational Paralinguistics How-to 294 13.3.1 Obtaining and Installing openSMILE 295 13.3.2 Extracting Features 295 13.3.3 Classification and Regression 302 References 303 14 Epilogue 304 Appendix 307 A.1 openSMILE Feature Sets Used at Interspeech Challenges 307 A.2 Feature Encoding Scheme 310 References 314 Index 315
£94.95
Gallaudet University Press,U.S. Interpreter Education in the Digital Age:
Book SynopsisThis collection brings together innovative research and approaches for blended learning using digital technologiy in interpreter education for signed and spoken languages. Volume editors Suzanne Ehrlich and Jemina Napier call upon the expertise of twenty-one experts to report on the current technology used to provide digital enhancements to interpreter education in six countries. This study focuses on the technology itself rather than how technology enhances curriculum, delivery, or resources.
£999.99
Centre for the Study of Language & Information Linguistic Databases
Book SynopsisLinguistic Databases explores the increasing use of databases in linguistics. The enormous potential in linguistic data - billions of utterances and messages daily - has been difficult to exploit. Many linguists have had to concentrate on introspective data with its inevitable blinders toward frequency, variation, and naturalness. Applications of linguistics have been handicapped. This volume explores the potential advantages of database applications to linguistics. Included in this volume are reports on database activities in phonetics, phonology, lexicography and syntax, comparative grammar, second-language acquisition, linguistic fieldwork, and language pathology. The book presents the specialized problems of multi-media (especially audio) and multi-lingual texts, including those in exotic writing systems. Implemented solutions are also discussed. The opportunities to use existing, minimally structured text repositories are presented.Table of Contents1. Introduction John Nerbonne; 2. Test suites for natural language processing Stephen Oepen, Klaus Netter and Judith Klein; 3. From annotated corpora to databases: the SgmlQL Jacques Le Maitre, Elisabeth Murisasco, and Monique Rolbert; 4. Markup of a test suite with SGML Martin Volk; 5. An open systems approach for an acoustic-phonetic continuous speech database: the S. tools database-management systems (STDBMS) Werner A. Deutsch, Ralf Vollman, Anton Noll, and Sylvia Moosmüller; 6. The reading database of syllable structure Erik Fudge and Linda Shockey; 7. A database application for the generation of phonetic atlas maps Edgar Haimerl; 8. Swiss-French polyphone and polyvar: telephone speech databases to model inter- and intra-speaker variability Gerard Chollet, Jean-Luc Cochard, Andrei Constantinescu, Cedric Jaboulet, and Philippe Langlais; 9. Investigating argument structure: the Russian nominalization database Andrew Bredenkamp, Louisa Sadler, and Andrew Spencer; 10. The use of a psycholinguistic database in the simplification of text for aphasic readers Siobhan Devlin and John Tait; 11. The computer learner Corpus: a testbed for electronic EFL Tools Sylviane Granger; 12. Linking wordnet to a Corpus query system Oliver Christ; 13. Multilingual data processing in the Cellar environment Gary F. Simons and John V. Thomson.
£999.99
Centre for the Study of Language & Information Computing Natural Language: Context, Structure,
Book SynopsisThis book pursues the recent upsurge of research in the interface of logic, language and computation, with applications to artificial intelligence and machine learning. It contains a variety of contributions to the logical and computational analysis of natural language. A wide range of logical and computational tools are employed and applied to such varied areas as context-dependency, linguistic discourse, and formal grammar. The papers in this volume cover: context-dependency from philosophical, computational, and logical points of view; a logical framework for combining dynamic discourse semantics and preferential reasoning in AI; negative polarity items in connection with affective predicates; Head-Driven Phrase Structure Grammar from a perspective of type theory and category theory; and an axiomatic theory of machine learning of natural language with applications to physics word problems.Table of ContentsPreface; 1. Indexicals, contexts, and unarticulated constituents; 2. Formalizing context (expanded notes); 3. Changing contexts and shifting assertions; 4. Discourse preferences in dynamic logic; 5. Polarity, predicates and monotonicity; 6. Machine learning of physics word problems.
£999.99
Centre for the Study of Language & Information Mixed Categories in the Hierarchical Lexicon
Book SynopsisMixed category constructions like the English verbal gerund involve words that seem to be central members of more than one part of speech and so pose a problem for the standard view of syntactic categories. This book presents a novel analysis of this and similar mixed category constructions in languages including Quechua, Tibetan, Arabic, Fijian, Dagaare, and Jacaltec. Under this analysis, verbal gerunds share the selectional properties of verbs and the distributional properties of nouns. Since different dimensions of grammatical information can vary independently, the behavior of mixed categories creates no paradox. But, while these dimensions are in principle independent, in fact certain types of mixed categories are quite common in the world's languages, while others are rare or nonexistent. The cross-linguistic variation can best be accounted for by means of a lexical categorial prototype. Specifically, nouns prototypically denote objects and verbs prototypically denote actions.Table of Contents1. Introduction; 2. English verbal gerunds; 3. Coherent nominalizations; 4. Conclusions and consequences; Bibliography; Index.
£999.99
Centre for the Study of Language & Information Mixed Categories in the Hierarchical Lexicon
Book SynopsisMixed category constructions like the English verbal gerund involve words that seem to be central members of more than one part of speech and so pose a problem for the standard view of syntactic categories. This book presents a novel analysis of this and similar mixed category constructions in languages including Quechua, Tibetan, Arabic, Fijian, Dagaare, and Jacaltec. Under this analysis, verbal gerunds share the selectional properties of verbs and the distributional properties of nouns. Since different dimensions of grammatical information can vary independently, the behavior of mixed categories creates no paradox. But, while these dimensions are in principle independent, in fact certain types of mixed categories are quite common in the world's languages, while others are rare or nonexistent. The cross-linguistic variation can best be accounted for by means of a lexical categorial prototype. Specifically, nouns prototypically denote objects and verbs prototypically denote actions.Table of Contents1. Introduction; 2. English verbal gerunds; 3. Coherent nominalizations; 4. Conclusions and consequences; Bibliography; Index.
£999.99
Centre for the Study of Language & Information The Ontology of Language: Properties, Individuals
Book SynopsisThe book offers contributions to a number of topics in semantics, while at the same time providing an engaging discussion of key foundational issues and of what Property Theory can contribute to them. The book starts from a version of Property Theory which stems out of a combination of the lambda calculus with Aczel's Frege structures (a combination originally developed by Raymond Turner). Fox improves on it and substantially extends it with original applications to plurals and mass nouns, to 'intensional individuals' and to the dynamics of discourse. Some useful appendixes on further extensions and alternatives are added. While being formally highly sophisticated, it manages to give a sense of the elegance and flexibility of the underlying theory. This volume should be of interest to researchers engaged in the cognitive science arena.Table of Contents1. Introduction; 2. Property theory; 3. Plurals and mass terms; 4. Roles and guises; 5. Discourse representation; 6. Conclusions; A. Dynamic property theory; B. Dependent types and discourse; C. Semantics of NL in PTD; D. Negation and disjunction in discourse; Bibliography.
£999.99
Centre for the Study of Language & Information Formalizing the Dynamics of Information
Book SynopsisThe papers collected in this volume exemplify some of the trends in current approaches to logic, language and computation. Written by authors with varied academic backgrounds, the contributions are intended for an interdisciplinary audience. The first part of this volume addresses issues relevant for multi-agent systems: reasoning with incomplete information, reasoning about knowledge and beliefs, and reasoning about games. Proofs as formal objects form the subject of Part II. Topics covered include: contributions on logical frameworks, linear logic, and different approaches to formalized reasoning. Part III focuses on representations and formal methods in linguistic theory, addressing the areas of comparative and temporal expressions, modal subordination, and compositionality.Table of ContentsPreface; Part I. Agents, Games, and Reasoning with Incomplete Information: 1. Commonsense as motion Areski nait Abdallah; 2. Intersubjective consistency of knowledge and belief Giacomo Bonanno and Klaus Nehring; 3. Formalizing potential of agents W. van der Hoek, J.-J. Ch. Meyer and J. W. van Schagen; 4. An introduction to game logic Marc Pauly; Part II. Reasoning Formalized: Logical Frameworks, Resolution, and Proof Theory: 5. Logical frameworks Iliano Cervesato; 6. Axiomatization of a Skolem function in intuitionistic logic Grigori Mints; 7. An overview of resolution decision procedures Hans de Nivelle; 8. From propositional to linear logic: an introduction Harold Schellinx; Part III. Compositions that Make Sense: 9. Dimensional adjectives and measures phrases in vector space semantics Martina Faller; 10. Dynamic context management Stefan Kaufmann; 11. Resolving temporal relations using tense meaning and discourse interpretation Andrew Kehler; 12. Semantic compositionality Francis Jeffrey Pelletier.
£999.99
Centre for the Study of Language & Information Formalizing the Dynamics of Information
Book SynopsisThe papers collected in this volume exemplify some of the trends in current approaches to logic, language and computation. Written by authors with varied academic backgrounds, the contributions are intended for an interdisciplinary audience. The first part of this volume addresses issues relevant for multi-agent systems: reasoning with incomplete information, reasoning about knowledge and beliefs, and reasoning about games. Proofs as formal objects form the subject of Part II. Topics covered include: contributions on logical frameworks, linear logic, and different approaches to formalized reasoning. Part III focuses on representations and formal methods in linguistic theory, addressing the areas of comparative and temporal expressions, modal subordination, and compositionality.Table of ContentsPreface; Part I. Agents, Games, and Reasoning with Incomplete Information: 1. Commonsense as motion Areski nait Abdallah; 2. Intersubjective consistency of knowledge and belief Giacomo Bonanno and Klaus Nehring; 3. Formalizing potential of agents W. van der Hoek, J.-J. Ch. Meyer and J. W. van Schagen; 4. An introduction to game logic Marc Pauly; Part II. Reasoning Formalized: Logical Frameworks, Resolution, and Proof Theory: 5. Logical frameworks Iliano Cervesato; 6. Axiomatization of a Skolem function in intuitionistic logic Grigori Mints; 7. An overview of resolution decision procedures Hans de Nivelle; 8. From propositional to linear logic: an introduction Harold Schellinx; Part III. Compositions that Make Sense: 9. Dimensional adjectives and measures phrases in vector space semantics Martina Faller; 10. Dynamic context management Stefan Kaufmann; 11. Resolving temporal relations using tense meaning and discourse interpretation Andrew Kehler; 12. Semantic compositionality Francis Jeffrey Pelletier.
£999.99
Centre for the Study of Language & Information Implementing Typed Feature Structure Grammars
Book SynopsisMuch of the work in modern formal linguistics is concerned with giving mathematically precise accounts of human languages. Such work is particularly suited for research that involves language processing with computers. This book provides an introduction to one particularly popular approach, typed-feature structure formalisms. Implementing Typed Feature Structure Grammars includes informal (but rigorous) descriptions of typed-feature structure logic as well as formal definitions. The book covers the basics of grammar development by introducing different frameworks to the reader such as categorial grammar and Head-Driven Phrase Structure Grammar, and demonstrates how these can be implemented. Semantic representation is also introduced. The book includes a CD of the LKB system software that allows the reader to experiment with various grammars and learn the details of the formalism. The CD is compatible with Windows, MacOS, Linux and Solaris, and includes a full user manual.
£999.99
Centre for the Study of Language & Information Words, Proofs and Diagrams
Book SynopsisThe past 20 years have witnessed an ever-increasing number of interdisciplinay research collaborations as computer scientists, logicians, linguists, philosophers, and psychologists all explore the same question: how can logic illuminate the nature of information? This collection covers active research areas at the interface of logic, computer science, and linguistics: process logics, formal semantics, language processing, and a new area where all three meet - the study of images and graphics as information carriers, and the diagrammatic reasoning supported by them.
£999.99
V&R unipress GmbH Sprache in kulturellen Kontexten / Language in
Book Synopsis
£54.19
