OLAC Record
oai:www.ldc.upenn.edu:LDC2021T14

Metadata
Title:BOLT Egyptian Arabic Co-reference -- Discussion Forum, SMS/Chat, and 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:Agarwal, Nitin, et al. BOLT Egyptian Arabic Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech LDC2021T14. Web Download. Philadelphia: Linguistic Data Consortium, 2021
Contributor:Agarwal, Nitin
Francini, Michelle
Kappler, Michelle
Micciulla, Linnea
Pradhan, Sameer
Ramshaw, Lance
Date (W3CDTF):2021
Date Issued (W3CDTF):2021-07-15
Description:*Introduction* BOLT Egyptian Arabic Co-reference -- Discussion Forum, SMS/Chat, and Conversational Telephone Speech was developed by Raytheon BBN Technologies and consists of co-reference annotation on Egyptian Arabic discussion forum (DF), SMS/Chat and conversational telephone speech (CTS). The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. The Linguistic Data Consortium (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* DF data was collected from the web using a combination of manual and automatic processes. SMS/Chat material was donated or collected via live platforms. CTS data was taken from LDC's Egyptian Arabic CALLHOME and CALLFRIEND telephone collections. Co-reference annotation aims to fill in all of the connections between specific mentions in the text that refer to the same entities and events in the discourse context. BOLT co-reference annotation was performed on BOLT treebank annotation. It covers noun phrases (including proper nouns, nominals, pronouns and null arguments), possessives, proper noun pre-modifiers and verbs. Annotation files are presented in UTF-8 encoded XML format. *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: * CTS Sample (TXT) * DF Sample (TXT) * SMS/Chat Sample (TXT) *Updates* None at this time.
Extent:Corpus size: 13711 KB
Identifier:LDC2021T14
https://catalog.ldc.upenn.edu/LDC2021T14
ISBN: 1-58563-969-9
ISLRN: 176-795-802-758-5
DOI: 10.35111/4z7r-vh07
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/LDC2021T14
Rights Holder:Portions © 1996-1997, 2002, 2012-2015, 2019, 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:LDC2021T14
DateStamp:  2021-07-19
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Agarwal, Nitin; Francini, Michelle; Kappler, Michelle; Micciulla, Linnea; Pradhan, Sameer; Ramshaw, Lance. 2021. Linguistic Data Consortium.
Terms: area_Africa country_EG dcmi_Text iso639_arz olac_primary_text


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Up-to-date as of: Mon Sep 27 7:53:34 EDT 2021