Foundational Issues in Natural Language Processing

Foundational Issues in Natural Language Processing
Author :
Publisher : Bradford Book
Total Pages : 248
Release :
ISBN-10 : UOM:39015022047107
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Foundational Issues in Natural Language Processing by : Peter Sells

Download or read book Foundational Issues in Natural Language Processing written by Peter Sells and published by Bradford Book. This book was released on 1991 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Four separate essays address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic.William Rounds, Avarind Joshi, Janet Fodor, and Robert Berwick are leading scholars in the multidisciplinary field of natural language processing. In four separate essays they address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic. The editors' substantial introduction details the progress and problems involved in attempts to relate these four areas of research. William Rounds discusses the relevance of complexity results to linguistics and computational linguistics, providing useful caveats about how results might be misinterpreted and pointing out promising avenues of future research. Avarind Joshi (with K. Vijay-Shanker and David Weir) surveys results showing the equivalence of several different grammatical formalisms, all of which are mildly context-sensitive, with special attention to variants of tree adjoining grammar. Janet Fodor discusses how psycholinguistic results can bear on the choice among competing grammatical theories, surveying a number of recent experiments and their relevance to issues in grammatical theory. Robert Berwick considers the relationship between issues in linguistic theory and the construction of computational parsing systems, in particular the question of what it means to implement a theory of grammar in a computational system. He argues for the advantages of a principle-based approach over a rule-based one, and surveys several recent parsing systems based on the theory of government and binding.


Foundational Issues in Natural Language Processing Related Books

Foundational Issues in Natural Language Processing
Language: en
Pages: 248
Authors: Peter Sells
Categories: Computers
Type: BOOK - Published: 1991 - Publisher: Bradford Book

DOWNLOAD EBOOK

Four separate essays address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-languag
Foundations of Statistical Natural Language Processing
Language: en
Pages: 719
Authors: Christopher Manning
Categories: Language Arts & Disciplines
Type: BOOK - Published: 1999-05-28 - Publisher: MIT Press

DOWNLOAD EBOOK

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction
Challenges in Natural Language Processing
Language: en
Pages: 312
Authors: Madeleine Bates
Categories: Computers
Type: BOOK - Published: 1993-09-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book addresses theoretical or applied work in the field of natural language processing.
Natural Language Processing
Language: en
Pages: 487
Authors: Yue Zhang
Categories: Computers
Type: BOOK - Published: 2021-01-07 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
Practical Natural Language Processing
Language: en
Pages: 455
Authors: Sowmya Vajjala
Categories: Computers
Type: BOOK - Published: 2020-06-17 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and sc