OLAC Record
oai:www.ldc.upenn.edu:LDC2014T25

Metadata
Title:GALE Chinese-English Word Alignment and Tagging -- 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, Stephen Grimes, and Stephanie Strassel. GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 2 LDC2014T25. Web Download. Philadelphia: Linguistic Data Consortium, 2014
Contributor:Li, Xuansong
Grimes, Stephen
Strassel, Stephanie
Date (W3CDTF):2014
Date Issued (W3CDTF):2014-11-15
Description:*Introduction* GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 2 was developed by the Linguistic Data Consortium (LDC) and contains 65,069 tokens of word aligned Chinese 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) *Data* This release consists of Chinese source broadcast conversation (BC) programming collected by LDC in 2008. The distribution by genre, words, character tokens and segments appears below: Language Genre Docs Words CharTokens Segments Chinese BC 9 43,379 65,069 2,419 Note that all token counts are based on the Chinese data only. One token is equivalent to one character and one word is equivalent to 1.5 characters. The Chinese word alignment tasks consisted of the following components: * Identifying, aligning, and tagging eight different types of links * Identifying, attaching, and tagging local-level unmatched words * Identifying and tagging sentence/discourse-level unmatched words * Identifying and tagging all instances of Chinese 的(DE) except when they were a part of a semantic link *Samples* * Chinese Raw * Chinese Token * English Raw * English 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: 3384 KB
Identifier:LDC2014T25
https://catalog.ldc.upenn.edu/LDC2014T25
ISBN: 1-58563-696-7
ISLRN: 445-017-231-229-4
DOI: 10.35111/7jck-pe82
Language:Mandarin Chinese
English
Chinese
Language (ISO639):cmn
eng
zho
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/LDC2014T25
Rights Holder:Portions © 2008 China Central TV, Phoenix TV, © 2008, 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:LDC2014T25
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Li, Xuansong; Grimes, Stephen; Strassel, Stephanie. 2014. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_CN country_GB dcmi_Text iso639_cmn iso639_eng iso639_zho olac_primary_text


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