OLAC Record oai:www.ldc.upenn.edu:LDC2018S02

Metadata
Title:		IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Bills, Aric, et al. IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e LDC2018S02. Web Download. Philadelphia: Linguistic Data Consortium, 2018
Contributor:		Bills, Aric
		Bishop, Judith
		Conners, Thomas
		Corris, Miriam
		Dubinski, Eyal
		Fiscus, Jonathan G.
		Harper, Mary
		Heighway, Melanie
		Kozlov, Kirill
		Malyska, Nicolas
		Melot, Jennifer
		Ray, Jessica
		Rytting, Anton
		Shen, Wade
		Silber, Ronnie
		Tzoukermann, Evelyne
Date (W3CDTF):		2018
Date Issued (W3CDTF):		2018-02-16
Description:		*Introduction* IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 200 hours of Tok Pisin conversational and scripted telephone speech collected in 2013 along with corresponding transcripts. The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Tok Pisin speech in this release represents that spoken in the Papuan dialect region of Papua New Guinea. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle. Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release. Evaluation data is available from NIST in support of OpenKWS. *Samples* Please view this audio sample and transcript sample. *Updates* None at this time.
Extent:		Corpus size: 11693024 KB
Format:		Sampling Rate: 8000
		Sampling Format: alaw
Identifier:		LDC2018S02
		https://catalog.ldc.upenn.edu/LDC2018S02
		ISBN: 1-58563-834-X
		ISLRN: 661-620-169-416-8
		DOI: 10.35111/2g9c-2n49
Language:		Tok Pisin
Language (ISO639):		tpi
License:		IARPA Babel Tok Pisin Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-tok-pisin-agreement-for-profit.pdf
		IARPA Babel Tok Pisin Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-tok-pisin-agreement-non-member.pdf
		IARPA Babel Tok Pisin Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-tok-pisin-agreement-not-for-profit.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2018S02
Rights Holder:		Portions © 2015 U.S. Government The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
Type (DCMI):		Sound
		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:LDC2018S02
DateStamp:		2022-12-06
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Bills, Aric; Bishop, Judith; Conners, Thomas; Corris, Miriam; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Heighway, Melanie; Kozlov, Kirill; Malyska, Nicolas; Melot, Jennifer; Ray, Jessica; Rytting, Anton; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne. 2018. Linguistic Data Consortium.
Terms:		area_Pacific country_PG dcmi_Sound dcmi_Text iso639_tpi olac_primary_text