OLAC Record oai:www.ldc.upenn.edu:LDC2019T13

Metadata
Title:		BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat 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, Stephen Grimes, and Stephanie Strassel. BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training LDC2019T13. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:		Li, Xuansong
		Grimes, Stephen
		Strassel, Stephanie
Date (W3CDTF):		2019
Date Issued (W3CDTF):		2019-09-16
Description:		*Introduction* BOLT Chinese-English Word Alignment and Tagging -- SMS/Chat Training was developed by the Linguistic Data Consortium (LDC) and consists of 388,027 words of Chinese and English parallel text enhanced with linguistic tags to indicate word relations. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference. *Data* This release consists of Chinese source text message and chat conversations collected using two methods: new collection via LDC's collection platform and donation of SMS and chat archives from BOLT collection participants. The source data is released as BOLT Chinese SMS/Chat (LDC2018T15). The BOLT word alignment task was built on treebank annotation. Specifically, LDC automatically extracted Chinese source tokens, including empty categories/traces, from word-segmented files provided by the BOLT Chinese Treebank annotation team at Brandeis University. The word-segmented tokens were then used to automatically generate ctb (Chinese Treebank) alignment and were also tokenized for character alignment by inserting white spaces to separate characters. The data profile broken down by character tokens, ctb tokens and segments appears below: Language Genre Files Words CharTokens CTBTokens Segments Chinese SMS/chat 1359 388,027 582,043 419,406 59,564 *Acknowledgement* This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Samples* Please view the following samples: * English Tokenized * CTB-Based Word Alignment * Character-Based Word Alignment * Chinese CTB-based Tokenized * Chinese Character Tokenized *Updates* None at this time.
Extent:		Corpus size: 65318 KB
Identifier:		LDC2019T13
		https://catalog.ldc.upenn.edu/LDC2019T13
		ISBN: 1-58563-901-X
		ISLRN: 423-788-018-824-3
		DOI: 10.35111/zbdg-8t66
Language:		Mandarin Chinese
		English
Language (ISO639):		cmn
		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/LDC2019T13
Rights Holder:		Portions © 2012-2015, 2018, 2019 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:LDC2019T13
DateStamp:		2020-11-30
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Li, Xuansong; Grimes, Stephen; Strassel, Stephanie. 2019. Linguistic Data Consortium.
Terms:		area_Asia area_Europe country_CN country_GB dcmi_Text iso639_cmn iso639_eng olac_primary_text