OLAC Record
oai:www.ldc.upenn.edu:LDC2012T16

Metadata
Title:GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and 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, Stephen Grimes, and Stephanie Strassel. GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and Web LDC2012T16. Web Download. Philadelphia: Linguistic Data Consortium, 2012
Contributor:Li, Xuansong
Grimes, Stephen
Strassel, Stephanie
Date (W3CDTF):2012
Date Issued (W3CDTF):2012-09-17
Description:*Introduction* GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and Web was developed by the Linguistic Data Consortium (LDC) and contains 150,068 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. *Data* This release consists of Chinese source newswire and web data (newsgroup, weblog) collected by LDC in 2008. The distribution by genre, words, character tokens and segments appears below: Language Genre Files Words CharTokens Segments Chinese nw 193 53279 79919 2016 Chinese wb 87 46766 70149 2357 Total 280 100045 150068 4373 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. The file names indicate the source provider, the story date and the language. For example, AFP_CMN_20080406 refers to the source Agence France Presse (AFP), the story date is April 6, 2008 and the language is Chinese (CMN). *Samples* Please follow the links for the source, translation, and word alignment files. *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: 6314 KB
Identifier:LDC2012T16
https://catalog.ldc.upenn.edu/LDC2012T16
ISBN: 1-58563-624-X
ISLRN: 582-702-931-027-0
Language:English
Mandarin Chinese
Chinese
Language (ISO639):eng
cmn
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/LDC2012T16
Rights Holder: Portions © 2008 Agence France Presse, China Military Online, Chinanews.com, Guangming Daily, Peoples Daily Online, © 2008, 2012 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
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2012T16
DateStamp:  2019-01-03
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Li, Xuansong; Grimes, Stephen; Strassel, Stephanie. 2012. 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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Up-to-date as of: Sun Sep 1 18:18:40 EDT 2019