OLAC Record

Title:GALE Arabic-English Word Alignment Training Part 3 -- Web
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 Training Part 3 -- Web LDC2014T14. Web Download. Philadelphia: Linguistic Data Consortium, 2014
Contributor:Li, Xuansong
Grimes, Stephen
Ismael, Safa
Strassel, Stephanie
Date (W3CDTF):2014
Date Issued (W3CDTF):2014-07-15
Description:*Introduction* GALE Arabic-English Word Alignment Training Part 3 -- Web was developed by the Linguistic Data Consortium (LDC) and contains 217,158 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) *Data* This release consists of Arabic source web data collected by LDC. The distribution by genre, words, character tokens and segments appears below: Language Genre Files Words CharTokens Segments Arabic WB 2,449 154,144 217,158 7,332 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 sampls: * English Raw * English Token * Arabic Raw * Arabic Token * World 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: 103584 KB
ISBN: 1-58563-683-5
ISLRN: 281-668-197-339-8
DOI: 10.35111/3f7t-jt26
Standard Arabic
Language (ISO639):ara
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/LDC2014T14
Rights Holder:Portions © 2014 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text


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Citation: Li, Xuansong; Grimes, Stephen; Ismael, Safa; Strassel, Stephanie. 2014. Linguistic Data Consortium.
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