OLAC Record oai:www.ldc.upenn.edu:LDC2022T06

Metadata
Title:		BOLT English Translation Treebank - Egyptian Arabic SMS/Chat
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Bies, Ann, et al. BOLT English Translation Treebank - Egyptian Arabic SMS/Chat LDC2022T06. Web Download. Philadelphia: Linguistic Data Consortium, 2022
Contributor:		Bies, Ann
		Mott, Justin
		Warner, Colin
		Kulick, Seth
Date (W3CDTF):		2022
Date Issued (W3CDTF):		2022-11-15
Description:		*Introduction* BOLT English Translation Treebank - Egyptian Arabic SMS/Chat was developed by the Linguistic Data Consortium (LDC) and consists of SMS and chat text data translated from Egyptian Arabic to English and annotated for part-of-speech and syntactic structure. 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. Part-of-speech and treebank annotation conformed to Penn Treebank II style, incorporating changes to those guidelines that were developed under the GALE (Global Autonomous Language Exploitation) program. Those changes primarily concerned the tokenization of hyphenated words, part-of-speech and tree changes necessitated by the tokenization changes, and updates to the syntactic annotation to comply with updated annotation guidelines. Supplementary guidelines for English treebanks and web text are included in this release. *Data* The Egyptian Arabic source data is SMS and chat text collected by LDC, translated into English and released in BOLT Egyptian Arabic SMS/Chat Parallel Training Data (LDC2021T15). A subset of that data -- 472 files representing 98,206 tokens -- was selected for the treebank and annotated for word-level tokenization, part-of-speech, and syntactic structure. Only the translated English text is included in the source data for this release. The Egyptian Arabic source data was released as BOLT Egyptian Arabic SMS/Chat and Transliteration (LDC2017T07).The treebank of the corresponding Arabic source sentences was released as BOLT Egyptian Treebank - SMS/Chat (LDC2021T17), and the parallel word alignment data was released as BOLT Egyptian Arabic-English Word Alignment - SMS/Chat Training (LDC2019T18) . Data is presented in a variety of UTF-8 encoded text formats, specifically, plain text, XML, and Penn Treebank. See the included documentation for more information about specific formats. *Sponsorship* 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: * AG XML Sample * Treebank Sample * Treebank Sample (no translation alternatives) * Source Translated Text Sample *Updates* None at this time.
Extent:		Corpus size: 26815 KB
Identifier:		LDC2022T06
		https://catalog.ldc.upenn.edu/LDC2022T06
		ISLRN: 822-113-388-925-5
		DOI: 10.35111/588r-wm85
Language:		English
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
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2022T06
Rights Holder:		Portions © 2014, 2017, 2019, 2021, 2022 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:LDC2022T06
DateStamp:		2023-01-01
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Bies, Ann; Mott, Justin; Warner, Colin; Kulick, Seth. 2022. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Text iso639_eng olac_primary_text