000 03927nam a22005175i 4500
001 978-3-642-41464-0
003 DE-He213
005 20200421111659.0
007 cr nn 008mamaa
008 140806s2014 gw | s |||| 0|eng d
020 _a9783642414640
_9978-3-642-41464-0
024 7 _a10.1007/978-3-642-41464-0
_2doi
050 4 _aP98-98.5
072 7 _aUYQL
_2bicssc
072 7 _aCOM042000
_2bisacsh
082 0 4 _a006.35
_223
100 1 _aNugues, Pierre M.
_eauthor.
245 1 0 _aLanguage Processing with Perl and Prolog
_h[electronic resource] :
_bTheories, Implementation, and Application /
_cby Pierre M. Nugues.
250 _a2nd ed. 2014.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXXV, 662 p. 200 illus., 18 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Technologies,
_x1611-2482
505 0 _aAn Overview of Language Processing -- Corpus Processing Tools -- Encoding and Annotation Scheme -- Topics in Information Theory and Machine Learning -- Counting Words -- Words, Parts of Speech, and Morphology -- Part-of-Speech Tagging Using Rules -- Part-of-Speech Tagging Using Statistical Techniques -- Phrase-Structure Grammars in Prolog -- Partial Parsing -- Syntactic Formalisms -- Constituent Parsing -- Dependency Parsing -- Semantics and Predicate Logic -- Lexical Semantics -- Discourse -- Dialogue -- Appendix A, An Introduction to Prolog Index References.
520 _aThe areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications.   This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech, and morphology, as well as key concepts in machine learning, such as entropy, regression, and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic, and lexical semantics, and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material.   The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field, the author redesigned or updated all the chapters, added two new ones, and considerably expanded the sections on machine-learning techniques.
650 0 _aComputer science.
650 0 _aUser interfaces (Computer systems).
650 0 _aArtificial intelligence.
650 0 _aComputational linguistics.
650 1 4 _aComputer Science.
650 2 4 _aLanguage Translation and Linguistics.
650 2 4 _aComputational Linguistics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aUser Interfaces and Human Computer Interaction.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642414633
830 0 _aCognitive Technologies,
_x1611-2482
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-41464-0
912 _aZDB-2-SCS
942 _cEBK
999 _c54879
_d54879