OLAC Record
oai:www.ldc.upenn.edu:LDC2019S04

Metadata
Title:CALLFRIEND Egyptian Arabic Second Edition
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Canavan, Alexandra, George Zipperlen, and John Bartlett. CALLFRIEND Egyptian Arabic Second Edition LDC2019S04. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Canavan, Alexandra
Zipperlen, George
Bartlett, John
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-03-15
Description:*Introduction* CALLFRIEND Egyptian Arabic Second Edition was developed by the Linguistic Data Consortium (LDC) and consists of approximately 25 hours of unscripted telephone conversations between native speakers of Egyptian Arabic. This second edition updates the audio files to wav format, simplifies the directory structure and adds documentation and metadata. The first edition is available as CALLFRIEND Egyptian Arabic (LDC96S49). The CALLFRIEND series is a collection of telephone conversations in several languages conducted by LDC in support of language identification technology development. Languages covered in the collection include American English, Canadian French, Egyptian Arabic, Farsi, German, Hindi, Japanese, Korean, Mandarin Chinese, Spanish, Tamil and Vietnamese. *Data* All data was collected before July 1997. Participants could speak with a person of their choice on any topic; most called family members and friends. All calls originated in North America. The recorded conversations last up to 30 minutes. The data was recorded as 8kHz u-law SPH encoded stereo files, with one end of the phone call on each channel. In this release, files were converted to WAV format, and information from the original SPH headers is described in the documentation. SPH files are not included in this second edition. The audio files were originally split into train, dev and test folders of 20 recordings each, but they are combined in this release. Completed calls passed through a human auditing process to verify that the target language was spoken by the participants, to check the quality of the recordings, and to record information about dialect, noise and distortion. *Samples* Please listen to this sample. *Updates* None at this time.
Extent:Corpus size: 2802208 KB
Format:Sampling Rate: 8000
Sampling Format: ulaw
Identifier:LDC2019S04
https://catalog.ldc.upenn.edu/LDC2019S04
ISBN: 1-58563-878-1
ISLRN: 630-695-749-712-5
DOI: 10.35111/b6pd-wn73
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/LDC2019S04
Rights Holder:Portions © 1996, 1997, 2019 Trustees of the University of Pennsylvania
Type (DCMI):Sound
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:LDC2019S04
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Canavan, Alexandra; Zipperlen, George; Bartlett, John. 2019. Linguistic Data Consortium.
Terms: area_Africa country_EG dcmi_Sound iso639_arz olac_primary_text


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Up-to-date as of: Fri Dec 6 7:48:50 EST 2024