Handbook of natural language processing
Author(s)
Bibliographic Information
Handbook of natural language processing
Marcel Dekker, c2000
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Table of Contents
- Symbolic approaches to natural language processing
- tokenisation and sentence segmentation
- lexical analysis
- parsing techniques
- semantic analysis
- discourse structure and intention recognition
- natural language generation
- intelligent writing assistance database interfaces
- information extraction
- the generation of reports from databases
- the generation of multimedia presentations
- machine translation
- dialogue systems - from theory to practice in TRAINS-96 empirical approaches to natural language processing
- corpus creation for data-intensive linguistics
- part-of-speech tagging
- alignment
- contextual word similarity
- computing similarity
- collocations
- statistical parsing
- authorship identificaiton and computational stylometry
- lexical knowledge acquisition
- example-based machine translation
- word-sense disambiguation
- NLP based on artificial neural-networks - introduction.
by "Nielsen BookData"