IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e

Item Name: IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e
Author(s): Aric Bills, Judith Bishop, Thomas Conners, Miriam Corris, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Melanie Heighway, Kirill Kozlov, Nicolas Malyska, Jennifer Melot, Jessica Ray, Anton Rytting, Wade Shen, Ronnie Silber, Evelyne Tzoukermann
LDC Catalog No.: LDC2018S02
ISBN: 1-58563-834-X
ISLRN: 661-620-169-416-8
DOI: https://doi.org/10.35111/2g9c-2n49
Release Date: February 16, 2018
Member Year(s): 2018
DCMI Type(s): Sound, Text
Sample Type: alaw
Sample Rate: 8000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Tok Pisin
Language ID(s): tpi
License(s): IARPA Babel Tok Pisin Agreement (For-Profit)
IARPA Babel Tok Pisin Agreement (Non-Member)
IARPA Babel Tok Pisin Agreement (Not-For-Profit)
Online Documentation: LDC2018S02 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Bills, Aric, et al. IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e LDC2018S02. Web Download. Philadelphia: Linguistic Data Consortium, 2018.
Related Works: View


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.


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.


Please view this audio sample and transcript sample.


None at this time.

Available Media

View Fees

Login for the applicable fee