Linguistic fundamentals for natural language processing : (Record no. 15956)

MARC details
000 -LEADER
fixed length control field 01990nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102818.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627050111
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9 .B46 2013
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bender, Emily M.
Relator term author
245 #0 - TITLE STATEMENT
Title Linguistic fundamentals for natural language processing :
Remainder of title 100 essentials from morphology and syntax /
Statement of responsibility, etc. Emily M. Bender
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. San Rafael, California :
Name of publisher, distributor, etc. Morgan & Claypool,
Date of publication, distribution, etc. c2013
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 166 pages ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD47.63
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction/motivation -- 2. Morphology: introduction -- 3. Morphophonology -- 4. Morphosyntax -- 5. Syntax : introduction -- 6. Parts of speech -- 7. Heads, arguments and adjuncts -- 8. Argument types and grammatical functions -- 9. Mismatches between syntactic position and semantic roles -- 10. Resources
520 ## - SUMMARY, ETC.
Summary, etc. Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NATURAL LANGUAGE PROCESSING (COMPUTER SCIENCE)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hirst, Graeme
Relator term editor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed. - CCIT LRC - Graduate Studies National University - Manila General Circulation 06/14/2017 Purchased - Amazon 333.46   GC QA 76.9 .B46 2013 c.2 NULIB000013715 05/20/2025 c.2 05/20/2025 Books