Cover Image

Linguistic structure prediction /

Bibliographic Details
Main Author: Smith, Noah Ashton
Format: eBook
Language:English
Published: [San Rafael, Calif.] : Morgan & Claypool, [2011]
Series:Synthesis lectures on human language technologies ; lecture #13.
Subjects:
Natural language processing (Computer science)
Computational linguistics.
Linguistic analysis (Linguistics) > Data processing.
COMPUTERS / Natural Language Processing.
Natural language processing
Computational linguistics
Machine learning
Decoding
Supervised learning
Unsupervised learning
Structured prediction
Probabilistic inference
Statistical modeling
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Abstract:A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology.
Item Description:Title from PDF title page (Morgan & Claypool, viewed July 29, 2011).
Part of: Synthesis digital library of engineering and computer science.
Electronic resource.
Physical Description:1 online resource (xx, 248 pages) : illustrations (some color)
Bibliography:Includes bibliographical references (pages 209-240) and index.
ISBN:9781608454068 (electronic bk.)
1608454061 (electronic bk.)
ISSN:1947-4059 ;