OLAC Record
oai:www.ldc.upenn.edu:LDC2014T22

Metadata
Title:GALE Arabic-English Word Alignment -- Broadcast Training Part 2
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Li, Xuansong, et al. GALE Arabic-English Word Alignment -- Broadcast Training Part 2 LDC2014T22. Web Download. Philadelphia: Linguistic Data Consortium, 2014
Contributor:Li, Xuansong
Grimes, Stephen
Ismael, Safa
Strassel, Stephanie
Date (W3CDTF):2014
Date Issued (W3CDTF):2014-10-15
Description:*Introduction* GALE Arabic-English Word Alignment -- Broadcast Training Part 2 was developed by the Linguistic Data Consortium (LDC) and contains 215,923 tokens of word aligned Arabic and English parallel text enriched with linguistic tags. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program. Some approaches to statistical machine translation include the incorporation of linguistic knowledge in word aligned text as a means to improve automatic word alignment and machine translation quality. This is accomplished with two annotation schemes: alignment and tagging. Alignment identifies minimum translation units and translation relations by using minimum-match and attachment annotation approaches. A set of word tags and alignment link tags are designed in the tagging scheme to describe these translation units and relations. Tagging adds contextual, syntactic and language-specific features to the alignment annotation. Other releases available in this series are: * GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and Web (LDC2012T16) * GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire (LDC2012T20) * GALE Chinese-English Word Alignment and Tagging Training Part 3 -- Web (LDC2012T24) * GALE Chinese-English Word Alignment and Tagging Training Part 4 -- Web (LDC2013T05) * GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 1 (LDC2013T23) * GALE Arabic-English Word Alignment Training Part 1 -- Newswire and Web (LDC2014T05) * GALE Arabic-English Word Alignment Training Part 2 -- Newswire (LDC2014T10) * GALE Arabic-English Word Alignment Training Part 3 -- Web (LDC2014T14) * GALE Arabic-English Word Alignment -- Broadcast Training Part 1 (LDC2014T19) *Data* This release consists of Arabic source broadcast news and broadcast conversation data collected by LDC from 2007-2009. The distribution by genre, words, tokens and segments appears below: LanguageGenreFilesWordsTokensSegments Arabic BC 369 97,514 129,233 7,941 Arabic BN 40 70,635 86,400 3,752 Totals 409 168,149 215,923 11,693 Note that word count is based on the untokenized Arabic source, and token count is based on the tokenized Arabic source. The Arabic word alignment tasks consisted of the following components: * Normalizing tokenized tokens as needed * Identifying different types of links * Identifying sentence segments not suitable for annotation * Tagging unmatched words attached to other words or phrases *Samples* Please view the following samples: * English Raw * English Token * Arabic Raw * Arabic Token * Word Alignment *Sponsorship* This work was supported in part by the Defense Advanced Research Projects Agency, GALE Program Grant No. HR0011-06-1-0003. The content of this publication does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Updates* None at this time.
Extent:Corpus size: 21416 KB
Identifier:LDC2014T22
https://catalog.ldc.upenn.edu/LDC2014T22
ISBN: 1-58563-691-6
ISLRN: 901-500-716-588-1
Language:Standard Arabic
Arabic
English
Language (ISO639):arb
ara
eng
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2014T22
Rights Holder:Portions © 2008-2009 Al Arabiyah, © 2008 Abu Dhabi TV, Al Alam News Channel, Al Baghdadya TV, Al Hiwar, Aljazeera, Al Sharqiya, Dubai TV, Nile TV, Oman TV, PAC Ltd, Saudi TV, Syria TV, © 2008-2009, 2014 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
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OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2014T22
DateStamp:  2019-01-03
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Search Info

Citation: Li, Xuansong; Grimes, Stephen; Ismael, Safa; Strassel, Stephanie. 2014. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_GB country_SA dcmi_Text iso639_ara iso639_arb iso639_eng olac_primary_text


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