OLAC Record

Genre Docs Words CharTokens Segments Chinese BC 12 51,192 76,789 2,943 Chinese BN 16 68,702 103,053 3,539 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 8 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* Please view the following samples: * Chinese Raw * Chinese Token * English Raw * English 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.
Title:GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 1
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 1 LDC2013T23. Web Download. Philadelphia: Linguistic Data Consortium, 2013
Contributor:Li, Xuansong
Grimes, Stephen
Strassel, Stephanie
Date (W3CDTF):2013
Date Issued (W3CDTF):2013-12-16
Description:*Introduction* GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 1 was developed by the Linguistic Data Consortium (LDC) and contains 179,842 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) *Data* This release consists of Chinese source broadcast conversation (BC) and broadcast news (BN) programming collected by LDC in 2005 - 2007. The distribution by genre, words, character tokens and segments appears below: Language
Extent:Corpus size: 5884 KB
ISBN: 1-58563-664-9
ISLRN: 526-115-548-399-6
DOI: 10.35111/11b6-qe77
Mandarin Chinese
Language (ISO639):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/LDC2013T23
Rights Holder: Portions © 2005-2007 China Central TV, © 2006 Hubei TV, © 2005-2007 Phoenix TV, © 2013 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text


Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2013T23
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Li, Xuansong; Grimes, Stephen; Strassel, Stephanie. 2013. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_CN country_GB dcmi_Text iso639_cmn iso639_eng iso639_zho olac_primary_text

Up-to-date as of: Sun Nov 26 6:52:09 EST 2023