Learning machine translation / (Record no. 72856)

000 -LEADER
fixed length control field 03478nam a2200493 i 4500
001 - CONTROL NUMBER
control field 6267198
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204556.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s2008 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262255097
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- elelelectronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
082 04 - CLASSIFICATION NUMBER
Call Number 418/.020285
245 00 - TITLE STATEMENT
Title Learning machine translation /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xii, 316 pages) :
490 1# - SERIES STATEMENT
Series statement Neural information processing series
520 ## - SUMMARY, ETC.
Summary, etc The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how Machine Learning techniques can improve Statistical Machine Translation, currently at the forefront of research in the field. The book looks first at enabling technologies--technologies that solve problems that are not Machine Translation proper but are linked closely to the development of a Machine Translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical Machine Translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple Machine Translation outputs in order to improve overall translation quality.ContributorsSrinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foster, Jesƒus Gim�nez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mah�, Llu�s M�rquez, Evgeny Matusov, I. Dan Melamed, Ion Muslea, Hermann Ney, Bruno Pouliquen, Dan Roth, Anoop Sarkar, John Shawe-Taylor, Ralf Steinberger, Joseph Turian, Nicola Ueffing, Masao Utiyama, Zhuoran Wang, Benjamin Wellington, Kenji Yamada.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Statistical methods.
700 1# - AUTHOR 2
Author 2 Goutte, Cyril.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267198
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c2009.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2008]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine translating

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