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Natural language processing and computational linguistics

Natural language processing and computational linguistics (3회 대출)

자료유형
단행본
개인저자
Kurdi, Mohamed Zakaria.
서명 / 저자사항
Natural language processing and computational linguistics / Mohamed Zakaria Kurdi.
발행사항
London, England ;   Hoboken, New Jersey :   iSTE :   Wiley,   2016-.  
형태사항
v. : ill. ; 25 cm.
총서사항
Cognitive Science Series
ISBN
9781848218482 (v.1) 9781848219212 (v.2)
내용주기
v.1 Speech, morphology and syntax -- v.2. Semantics, discourse and applications.
서지주기
Includes bibliographical references and index.
일반주제명
Natural language processing (Computer science).
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020 ▼a 9781848219212 (v.2)
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100 1 ▼a Kurdi, Mohamed Zakaria.
245 1 0 ▼a Natural language processing and computational linguistics / ▼c Mohamed Zakaria Kurdi.
260 ▼a London, England ; ▼a Hoboken, New Jersey : ▼b iSTE : ▼b Wiley, ▼c 2016-.
300 ▼a v. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Cognitive Science Series
504 ▼a Includes bibliographical references and index.
505 1 0 ▼g v.1 ▼t Speech, morphology and syntax -- ▼g v.2. ▼t Semantics, discourse and applications.
650 0 ▼a Natural language processing (Computer science).
830 0 ▼a Cognitive science series (London, England).
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.35 K96n 2 등록번호 111788165 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Introduction ix

Chapter 1. Linguistic Resources for NLP  1

1.1. The concept of a corpus 1

1.2. Corpus taxonomy 4

1.2.1. Written versus spoken 4

1.2.2. The historical point of view 5

1.2.3. The language of corpora 5

1.2.4. Thematic representativity 7

1.2.5. Age range of speakers 8

1.3. Who collects and distributes corpora? 8

1.3.1. The Gutenberg project 9

1.3.2. The linguistic data consortium 9

1.3.3. European language resource agency 9

1.3.4. Open language archives community 10

1.3.5. Miscellaneous 10

1.4. The lifecycle of a corpus 10

1.4.1. Needs analysis 12

1.4.2. Design of scenarios to collect data for the corpus 12

1.4.3. Collection of the corpus 12

1.4.4. Transcription 16

1.4.5. Corpus annotation 18

1.4.6. Corpus documentation 22

1.4.7. Statistical analysis of data 22

1.4.8. The use of corpora in NLP 23

1.5. Examples of existing corpora 23

1.5.1. American National Corpus 23

1.5.2. Oxford English Corpus 23

1.5.3. The Grenoble Tourism Office Corpus 24

Chapter 2. The Sphere of Speech 25

2.1. Linguistic studies of speech 25

2.1.1. Phonetics 25

2.1.2. Phonology 46

2.2. Speech processing 61

2.2.1. Automatic speech recognition 62

2.2.2. Speech synthesis 80

Chapter 3. Morphology Sphere 89

3.1. Elements of morphology 89

3.1.1. Morphological typology 90

3.1.2. Morphology of English 91

3.1.3. Parts of speech 95

3.1.4. Terms, collocations and colligations 99

3.2. Automatic morphological analysis 100

3.2.1. Stemming 101

3.2.2. Regular expressions for morphological analysis 104

3.2.3. Informal introduction to finite-state machines 108

3.2.4. Two-level morphology and FST 112

3.2.5. Part-of-speech tagging 117

Chapter 4. Syntax Sphere 127

4.1. Basic syntactic concepts 127

4.1.1. Delimitation of the field of syntax 127

4.1.2. The concept of grammaticality 128

4.1.3. Syntactic constituents 129

4.1.4. Syntactic typology of topology and agreement 139

4.1.5. Syntactic ambiguity 140

4.1.6. Syntactic specificities of spontaneous oral language 141

4.2. Elements of formal syntax 145

4.2.1. Syntax trees and rewrite rules 145

4.2.2. Languages and formal grammars 152

4.2.3. Hierarchy of languages (Chomsky–Schützenberger) 154

4.2.4. Feature structures and unification 162

4.2.5. Definite clause grammar 169

4.3. Syntactic formalisms 171

4.3.1. X-bar 171

4.3.2. Head-driven phrase structure grammar 178

4.3.3. Lexicalized tree-adjoining grammar 193

4.4. Automatic parsing 201

4.4.1. Finite-state automata 202

4.4.2. Recursive transition networks 203

4.4.3. Top-down approach 207

4.4.4. Bottom-up approach 212

4.4.5. Mixed approach: left-corner 215

4.4.6. Tabular parsing (chart) 221

4.4.7. Probabilistic parsing 225

4.4.8. Neural network 233

4.4.9. parsing algorithms for unification-based grammars 237

4.4.10. Robust parsing approaches 238

4.4.11. Generation algorithms 242

Bibliography 245

Index 275


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