OLAC Record

Title:GALE English-Chinese Parallel Aligned Treebank -- Training
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 English-Chinese Parallel Aligned Treebank -- Training LDC2017T06. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Li, Xuansong
Grimes, Stephen
Strassel, Stephanie
Ma, Xiaoyi
Xue, Nianwen
Marcus, Mitch
Taylor, Ann
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-03-17
Description:*Introduction* GALE English-Chinese Parallel Aligned Treebank -- Training was developed by the Linguistic Data Consortium (LDC) and contains 196,123 tokens of word aligned English and Chinese parallel text with treebank annotations. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program. Parallel aligned treebanks are treebanks annotated with morphological and syntactic structures aligned at the sentence level and the sub-sentence level. Such data sets are useful for natural language processing and related fields, including automatic word alignment system training and evaluation, transfer-rule extraction, word sense disambiguation, translation lexicon extraction and cultural heritage and cross-linguistic studies. With respect to machine translation system development, parallel aligned treebanks may improve system performance with enhanced syntactic parsers, better rules and knowledge about language pairs and reduced word error rate. The English source data was translated into Chinese. Chinese and English treebank annotations were performed independently. The parallel texts were then word aligned. The material in this release corresponds to portions of the treebanked data in OntoNotes 3.0 (LDC2009T24) and OntoNotes 4.0 (LDC2011T03). *Data* This release consists of English source broadcast programming (CNN, NBC/MSNBC) and web data collected by LDC in 2005 and 2006. The distribution by genre, words, character tokens, treebank tokens and segments appears below: Genre Files Words CharTokens CTBTokens Segments bc 6 60,0061 90,092 62,438 3,763 wb 15 70,687 106,031 69,309 3,238 Total 21 130,748 196,123 131,747 7,001 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 word alignment task 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 This release contains nine types of files - English raw source files, Chinese raw translation files, Chinese character tokenized files, Chinese CTB tokenized files, English tokenized files, Chinese treebank files, English treebank files, character-based word alignment files, and CTB-based word alignment files. *Samples* Please view the following samples: * English raw source * Chinese raw translation * Chinese character tokenized * Chinese CTB tokenized * English tokenized * Chinese treebank * English treebank * Character-based word alignment * CTB-based 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* 04/12/2017 - The Chinese raw translation files for broadcast conversation were updated to the correct files. All downloads recieved after this date are fully up to date.
Extent:Corpus size: 12840 KB
ISBN: 1-58563-792-0
ISLRN: 616-843-327-054-2
DOI: 10.35111/w1wt-fc49
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
Provenance:Collected by the Linguistic Data Consortium (LDC) in Philadelphia, PA, USA.
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2017T06
Rights Holder:Portions © 2005 Cable News Network, LP, LLLP, © 2006 National Broadcasting Company, Inc., © 2005, 2006, 2011, 2017 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text


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Citation: Li, Xuansong; Grimes, Stephen; Strassel, Stephanie; Ma, Xiaoyi; Xue, Nianwen; Marcus, Mitch; Taylor, Ann. 2017. Linguistic Data Consortium.
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