GALE Chinese-English Parallel Aligned Treebank -- Training

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Li, Xuansong; Grimes, Stephen; Strassel, Stephanie; Ma, Xiaoyi; Xue, Nianwen; Marcus, Mitch; Taylor, Anne, 2015, "GALE Chinese-English Parallel Aligned Treebank -- Training", https://hdl.handle.net/11272.1/AB2/R6YEEW, Abacus Data Network, V1

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Description	GALE Chinese-English Parallel Aligned Treebank -- Training was developed by the Linguistic Data Consortium (LDC) and contains 229,249 tokens of word aligned Chinese and English 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 Chinese source data was translated into English. 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 Chinese treebanked data in Chinese Treebank 6.0 (LDC2007T36) (CTB), OntoNotes 3.0 (LDC2009T24) and OntoNotes 4.0 (LDC2011T03). This release consists of Chinese source broadcast programming (China Central TV, Phoenix TV), newswire (Xinhua News Agency) and web data collected by LDC. The distribution by genre, words, character tokens, treebank tokens and segments appears below: Genre Files Words CharTokens CTBTokens Segments bc 10 57,571 86,356 60,270 3,328 nw 172 64,337 96,505 57,722 2,092 wb 86 30,925 46,388 31,240 1,321 Total 268 152,833 229,249 149,232 6,741 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 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 - Chinese raw source files, English 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. 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.
Subject	Other
Keyword	Linguistics

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	LDC2015T06.iso Data/Optical Disc Image - 17.1 MB Published Aug 30, 2020 1 Download MD5: ce35d284687bb6a09c9c592730a5d072 ISO disc image including all documentation and data Data	Access File File Access Restricted Users may not request access to files. Download Metadata Data File Citation EndNote XML RIS BibTeX
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Citation Metadata

Dataset Persistent ID	hdl:11272.1/AB2/R6YEEW
Publication Date	2015-03-16
Citation Date
Title	GALE Chinese-English Parallel Aligned Treebank -- Training
Other ID	Linguistic Data Consortium: LDC2015T06 ISBN: 1-58563-708-4 ISLRN: 041-146-278-187-2
Author	Li, Xuansong Grimes, Stephen Strassel, Stephanie Ma, Xiaoyi Xue, Nianwen Marcus, Mitch Taylor, Anne
Contact	Use email button above to contact. Abacus support
Description	GALE Chinese-English Parallel Aligned Treebank -- Training was developed by the Linguistic Data Consortium (LDC) and contains 229,249 tokens of word aligned Chinese and English 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 Chinese source data was translated into English. 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 Chinese treebanked data in Chinese Treebank 6.0 (LDC2007T36) (CTB), OntoNotes 3.0 (LDC2009T24) and OntoNotes 4.0 (LDC2011T03). This release consists of Chinese source broadcast programming (China Central TV, Phoenix TV), newswire (Xinhua News Agency) and web data collected by LDC. The distribution by genre, words, character tokens, treebank tokens and segments appears below: Genre Files Words CharTokens CTBTokens Segments bc 10 57,571 86,356 60,270 3,328 nw 172 64,337 96,505 57,722 2,092 wb 86 30,925 46,388 31,240 1,321 Total 268 152,833 229,249 149,232 6,741 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 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 - Chinese raw source files, English 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. 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.
Subject	Other
Keyword	Linguistics (ACV)
Producer	Linguistic Data Consortium (University of Pennsylvania) (LDC) https://www.ldc.upenn.edu/
Production Date	2015
Production Place	Philadelphia
Grant Information	Defense Advanced Research Projects Agency: GALE Program Grant No. HR0011-06-1-0003
Distributor	Linguistic Data Consortium (University of Pennsylvania) (LDC) https://www.ldc.upenn.edu/
Distribution Date	2015-03-16
Deposit Date	2015-11-24
Kind of Data	Linguistic data
Series	LDC: Linguistic Data Consortium
Data Sources	newswire, broadcast conversation, web collection

Geospatial Metadata

Geographic Coverage	China

Social Science and Humanities Metadata

Study Level Error Notes	DCMI type: TextProject: GALEApplication: Automatic content extraction, cross-lingual information retrieval, information detection, machine translationLanguage: Mandarin Chinese, Chinese, EnglishLanguage ID: cmn, zho, eng Previous handle https://hdl.handle.net/11272/10326 has been deprecated

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