Neural machine translation / (Record no. 54658)

MARC details
000 -LEADER
fixed length control field 01941nam a2200289 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field IN-BdCUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250103125021.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180510s2020||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108608480 (ebook)
Canceled/invalid ISBN 9781108497329 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BdCUP
Language of cataloging eng
Transcribing agency IN-BdCUP
Description conventions rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number P308
Item number .K638 2020
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 418/.020285
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Koehn, Philipp
Relator term Author
245 #0 - TITLE STATEMENT
Title Neural machine translation /
Statement of responsibility, etc. Philipp Koehn.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xiv, 393 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 01 Jun 2020).
520 ## - SUMMARY, ETC.
Summary, etc. Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine translation.
-- Neural networks (Computer science)
776 ## - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781108608480
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Electronic Book Resource
Uniform Resource Identifier <a href="https://doi.org/10.1017/9781108608480">https://doi.org/10.1017/9781108608480</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Order Number Cost, normal purchase price Bill number Total checkouts Full call number Barcode Date last seen Uniform resource identifier Actual Cost, replacement price Bill Date Koha item type
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 01/01/2025 Today & Tomorrow's Printers and Publishers CUP/LIB/24 270.00 TTPP/202/2024-25   418.020285 E01849 03/01/2025 https://doi.org/10.1017/9781108608480 270.00 13/11/2024 E-Book
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