OLAC Record
oai:www.ldc.upenn.edu:LDC2021T12

Metadata
Title:BOLT Egyptian Arabic Treebank - Conversational Telephone Speech
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Maamouri, Mohamed, et al. BOLT Egyptian Arabic Treebank - Conversational Telephone Speech LDC2021T12. Web Download. Philadelphia: Linguistic Data Consortium, 2021
Contributor:Maamouri, Mohamed
Bies, Ann
Kulick, Seth
Krouna, Sondos
Tabassi, Dalila
Ciul, Michael
Date (W3CDTF):2021
Date Issued (W3CDTF):2021-06-15
Description:*Introduction* BOLT Egyptian Arabic Treebank - Conversational Telephone Speech was developed by the Linguistic Data Consortium (LDC) and consists of Egyptian Arabic conversational telephone speech data with part-of-speech annotation, morphology, gloss and syntactic tree annotation. 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. The annotations in this release follow Penn Arabic Treebank (PATB) annotation guidelines. The PATB project consists of two distinct phases: (a) part-of-speech tagging which divides the text into lexical tokens and gives relevant information about each token such as lexical category, inflectional features and a gloss; and (b) Arabic treebanking, which characterizes the constituent structures of word sequences, provides categories for each non-terminal node and identifies null elements, co-reference, traces and so on. There are two types of morphological analysis synchronized in the corpus. LDC Standard Morphological Analyzer (SAMA) Version 3.1 (LDC2010L01) was used for Modern Standard Arabic tokens, and CALIMA (Columbia Arabic Language and dIalect Morphological Analyzer) was used for Egyptian-Arabic tokens. *Data* This release contains 153,171 tokens before clitics were split and 182,965 tree tokens after clitics were split for treebank annotation. The source data was selected from conversational telephone speech collected by LDC for the CALLHOME project that was transcribed and segmented into sentence units. Data is presented in a variety of UTF-8 encoded text formats, specifically plain text, XML, tdf and Penn Treebank. See the included documentation for more information about the 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. * Integrated XML * SU XML * Penn Treebank * Penn Treebank without vowels * SU TDF * POS Before (TXT) * POS After (TXT) *Updates* None at this time.
Extent:Corpus size: 95674 KB
Identifier:LDC2021T12
https://catalog.ldc.upenn.edu/LDC2021T12
ISBN: 1-58563-966-4
ISLRN: 430-645-589-448-0
DOI: 10.35111/049t-mb70
Language:Egyptian Arabic
Language (ISO639):arz
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/LDC2021T12
Rights Holder: Portions © 1997, 2002, 2011-2021 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:LDC2021T12
DateStamp:  2022-01-01
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Maamouri, Mohamed; Bies, Ann; Kulick, Seth; Krouna, Sondos; Tabassi, Dalila; Ciul, Michael. 2021. Linguistic Data Consortium.
Terms: area_Africa country_EG dcmi_Text iso639_arz olac_primary_text


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