Learning machine translation / (Record no. 72856)
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000 -LEADER | |
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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 | |
-- | |
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 |
No items available.