Handbook of natural language procession / edited by Robert Dale, Hermann Moisl and Harold Somers

Contributor(s): Material type: TextTextPublication details: New York : Marcel Dekker, Inc., c2000Description: xviii, 943 pages : illustrations ; 26 cmISBN:
  • 824790006
Subject(s): LOC classification:
  • QA 76.9.N38 .H36 2000
Contents:
Part I Symbolic Approaches to NLP -- Part II Empirical Approaches to NLP -- Part III Artificial Neural Network Approaches to NLP.
Summary: Annotation Contributors split nearly equally between scholars of linguistics and of technical matters such as computer science and information discuss recent developments in designing and implementing computational machinery that communicates with humans using natural language. Emphasizing practical tools and techniques and minimizing speculation and polemic, they cover symbolic approaches that have their origins in generative linguistics, approaches based on empirical corpus analysis, and artificial neural network approaches. Among the topics are discourse structure and intentional recognition, generating multimedia presentations, creating a corpus for data-intensive linguistics, example-based machine translation, character recognition with syntactic neural networks, knowledge representation, and text data mining.
Item type: Books - Reference
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books - Reference Books - Reference National University - Manila LRC - Main Reference Gen. Ed. - CCIT REF QA 76.9.N38 .H36 2000 (Browse shelf(Opens below)) c.1 Available NULIB000018964

Includes bibliographical references and index.

Part I Symbolic Approaches to NLP -- Part II Empirical Approaches to NLP -- Part III Artificial Neural Network Approaches to NLP.

Annotation Contributors split nearly equally between scholars of linguistics and of technical matters such as computer science and information discuss recent developments in designing and implementing computational machinery that communicates with humans using natural language. Emphasizing practical tools and techniques and minimizing speculation and polemic, they cover symbolic approaches that have their origins in generative linguistics, approaches based on empirical corpus analysis, and artificial neural network approaches. Among the topics are discourse structure and intentional recognition, generating multimedia presentations, creating a corpus for data-intensive linguistics, example-based machine translation, character recognition with syntactic neural networks, knowledge representation, and text data mining.

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