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Natural language processing and computational linguistics. speech morphology and syntax / 1 :
Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early a...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2016.
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| Colección: | Cognitive science series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover ; Title Page ; Copyright ; Contents; Introduction; I.1. The definition of NLP; I.1.1. NLP and linguistics; I.1.2. NLP and AI; I.1.3. NLP and cognitive science; I.1.4. NLP and data science; I.2. The structure of this book; 1. Linguistic Resources for NLP; 1.1. The concept of a corpus; 1.2. Corpus taxonomy; 1.2.1. Written versus spoken; 1.2.2. The historical point of view; 1.2.3. The language of corpora; 1.2.4. Thematic representativity; 1.2.5. Age range of speakers; 1.3. Who collects and distributes corpora?; 1.3.1. The Gutenberg project1; 1.3.2. The linguistic data consortium.
- 1.3.3. European language resource agency1.3.4. Open language archives community; 1.3.5. Miscellaneous; 1.4. The lifecycle of a corpus; 1.4.1. Needs analysis; 1.4.2. Design of scenarios to collect data for the corpus; 1.4.3. Collection of the corpus; 1.4.4. Transcription; 1.4.5. Corpus annotation; 1.4.6. Corpus documentation; 1.4.7. Statistical analysis of data; 1.4.8. The use of corpora in NLP; 1.5. Examples of existing corpora ; 1.5.1. American National Corpus; 1.5.2. Oxford English Corpus; 1.5.3. The Grenoble Tourism Office Corpus; 2. The Sphere of Speech; 2.1. Linguistic studies of speech.
- 2.1.1. Phonetics2.1.2. Phonology; 2.2. Speech processing; 2.2.1. Automatic speech recognition; 2.2.2. Speech synthesis; 3. Morphology Sphere; 3.1. Elements of morphology; 3.1.1. Morphological typology; 3.1.2. Morphology of English; 3.1.3. Parts of speech; 3.1.4. Terms, collocations and colligations; 3.2. Automatic morphological analysis; 3.2.1. Stemming; 3.2.2. Regular expressions for morphological analysis; 3.2.3. Informal introduction to finite-state machines; 3.2.4. Two-level morphology and FST; 3.2.5. Part-of-speech tagging; 4. Syntax Sphere; 4.1. Basic syntactic concepts.
- 4.1.1. Delimitation of the field of syntax4.1.2. The concept of grammaticality; 4.1.3. Syntactic constituents; 4.1.4. Syntactic typology of topology and agreement; 4.1.5. Syntactic ambiguity; 4.1.6. Syntactic specificities of spontaneous oral language; 4.2. Elements of formal syntax ; 4.2.1. Syntax trees and rewrite rules; 4.2.2. Languages and formal grammars; 4.2.3. Hierarchy of languages (Chomsky-Schützenberger); 4.2.4. Feature structures and unification; 4.2.5. Definite clause grammar; 4.3. Syntactic formalisms; 4.3.1. X-bar; 4.3.2. Head-driven phrase structure grammar.
- 4.3.3. Lexicalized tree-adjoining grammar4.4. Automatic parsing; 4.4.1. Finite-state automata; 4.4.2. Recursive transition networks; 4.4.3. Top-down approach; 4.4.4. Bottom-up approach; 4.4.5. Mixed approach: left-corner; 4.4.6. Tabular parsing (chart); 4.4.7. Probabilistic parsing; 4.4.8. Neural networks; 4.4.9. Parsing algorithms for unification-based grammars; 4.4.10. Robust parsing approaches; 4.4.11. Generation algorithms; Bibliography; Index; Other titles from iSTE in Cognitive Science and Knowledge Management; EULA.