OLAC Record oai:www.ldc.upenn.edu:LDC2019T18

Metadata
Title:		BOLT Egyptian Arabic-English Word Alignment -- 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 Egyptian Arabic-English Word Alignment -- SMS/Chat Training LDC2019T18. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:		Li, Xuansong
		Grimes, Stephen
		Strassel, Stephanie
Date (W3CDTF):		2019
Date Issued (W3CDTF):		2019-12-05
Description:		*Introduction* BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training was developed by the Linguistic Data Consortium (LDC) and consists of 349,414 words of Egyptian Arabic 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 Egyptian Arabic source text message and chat conversations collected using two methods: new collection via LDC's collection platform, and donation of SMS or chat archives from BOLT collection participants. The source data is released as BOLT Egyptian Arabic SMS/Chat and Transliteration (LDC2017T07). The BOLT word alignment task was built on treebank annotation. Specifically, Egyptian Arabic source tree tokens were automatically extracted from tree files in LDC's BOLT Egyptian Arabic Treebank. Those tree files had been tagged for part-of-speech and syntactically annotated. That data was then aligned and annotated for the word alignment task. The data profile broken down by character tokens, tree tokens and segments appears below: Language Genre Files Words Tree/POS-tokens Segments Egyptian Arabic SMS/Chat 1367 349,414 475,665 74,814 *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: * Egyptian Arabic Source * English Translation * Word Alignment *Updates* None at this time.
Extent:		Corpus size: 39081 KB
Identifier:		LDC2019T18
		https://catalog.ldc.upenn.edu/LDC2019T18
		ISBN: 1-58563-912-5
		ISLRN: 254-006-253-137-3
		DOI: 10.35111/1kea-zq24
Language:		Egyptian Arabic
		English
Language (ISO639):		arz
		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/LDC2019T18
Rights Holder:		Portions © 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:LDC2019T18
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_Africa area_Europe country_EG country_GB dcmi_Text iso639_arz iso639_eng olac_primary_text