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Linguistic Data Consortium (UBC)
MATERIAL Kazakh-English Language Pack
Version 1.0
Bekkozhanova, Gulnar; Bills, Aric; Chouder, Sarra; Jaralve, Vanessa; Corey, Cassian; Dubinski, Eyal; Ellis, Corinna; Gibby, Paul; Kazi, Michael; Lam, Julie; Le, Hanh; Malyska, Nicolas; Marcucci, Giorgia; Marvi, Sarah; McConnell, Sara; Melot, Jennifer; Mensch, Alyssa; Morrison, Michelle; Paget, Shelley; Ramizo, Katerina; Richardson, Frederick; Roberts, Annette; Rubino, Carl; Sarseke, Gulnar; Taubayev, Zharas, 2025, "MATERIAL Kazakh-English Language Pack", https://hdl.handle.net/11272.1/AB2/5G61UB, Abacus Data Network, V1
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Description
Abstract

Introduction

MATERIAL Kazakh-English Language Pack was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 57 hours of Kazakh conversational telephone speech, transcripts, English translations, annotations and queries.

The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries.

Data

The Kazakh speech in this release represents that spoken in the Northern and Southern dialect regions of Kazakhstan. Speakers were 18 years of age or older. 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.

Transcripts cover approximately 17% of the speech data, all of which was translated into English. Further information about transcription and translation methodologies is contained in the documentation accompanying this release.

Kazakh-English Language Pack also includes English queries and their relevance annotations. Annotators marked transcripts by query (simple, conceptual, hybrid) and by their relevance to query search terms.

Speech data is presented mostly as two channel wav or single channel sphere files, both in 8kHz A-law format. Some wav files are 48kHz PCM. All text data is UTF-8 encoded.

(2025-04-15)
Subject Other
Keyword Linguistics
Notes DCMI Type(s): Sound, Text
Sample Type: Alaw
Sample Rate: 8000
Application(s): Information retrieval, speech recognition
Language(s): English, Kazakh
Language ID(s): eng, kaz
Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2025S03 [09 Jun 2025]
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LDC2025S03.iso
Optical Disc Image - 9.0 GB
Published Jun 9, 2025
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MD5: 368db6e6280771ca15d57d25f32b7c35
ISO disc image containing all documentation and data
Data
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Dataset Terms

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User License Agreement for MATERIAL Kazakh-English Language Pack (LDC2025S03)

(“User”) agrees to use the data designated as MATERIAL Kazakh-English Language Pack (LDC2025S03) (the “Data”) and distributed by the Linguistic Data Consortium (“LDC”) subject to the following understandings, terms and conditions.

User agrees to use the Data received under this Agreement only for non-commercial linguistic education, research and technology development.

User may include limited excerpts from the Data in articles, reports and other documents describing the results of User’s non-commercial linguistic education, research and technology development. Unless explicitly permitted herein, User shall not otherwise publish, retransmit, disclose, display, copy, reproduce or redistribute the Data. User shall have no right to copy, redistribute, transmit, publish or otherwise use the Data for any other purpose.

Please see the README in each delivery archive for more details on the Data.

As a recipient of the Data, User agrees to:

  1. Insert the following statement in any product, report, publication, presentation, and/or other document that references the data: “This product contains or makes use of IARPA data, MATERIAL Kazakh-English Language Pack (LDC2025S03).”

  2. Accept the Data “as is.” User is solely responsible for any damage that may arise from its use of the Data. User agrees to hold the US Government (“USG”), the source of the Data, harmless and to indemnify the USG for all liabilities, demands, damages, expenses and losses arising out of its use for any purpose of the Data. Unless prohibited by law, User assumes all liability for claims for damages against it by third parties which may arise from the use, storage, or disposal of the Data, regardless of whether such liability is based on breach of contract, tort, strict liability, breach of warranties, infringement of intellectual property, failure of essential purpose or otherwise.

  3. Not further distribute the Data.

LDC has entered into a License Agreement with IARPA to distribute the Data. Under the terms of that License Agreement, LDC may be required to identify recipients of the Data to IARPA.

User shall give appropriate reference to the Data in scholarly publications whenever they are mentioned. The following citation format is required:

Gulnar Bekkozhanova, Aric Bills, Rachael Brunckhorst, Sarra Chouder, Cassian Corey, Eyal Dubinski, Corinna Ellis, Paul Gibby, Vanessa Jaralve, Michael Kazi, Julie Lam, Hanh Le, Nicolas Malyska, Giorgia Marcucci, Sarah Marvi, Sara McConnell, Jennifer Melot, Alyssa Mensch, Michelle Morrison, Shelley Paget, Katerina Ramizo, Frederick Richardson, Annette Roberts, Carl Rubino, Gulnar Sarseke, Zharas Taubayev, Jonathan Taylor, Brian Thompson, Audrey Tong, Richard Tong, Jennifer Yu, Ilya Zavorin. MATERIAL Kazakh-English Language Pack LDC2025S03. Web Download. Philadelphia: Linguistic Data Consortium, 2025.

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User License Agreement for MATERIAL Kazakh-English Language Pack (LDC2025S03)

(“User”) agrees to use the data designated as MATERIAL Kazakh-English Language Pack (LDC2025S03) (the “Data”) and distributed by the Linguistic Data Consortium (“LDC”) subject to the following understandings, terms and conditions.

User agrees to use the Data received under this Agreement only for non-commercial linguistic education, research and technology development.

User may include limited excerpts from the Data in articles, reports and other documents describing the results of User’s non-commercial linguistic education, research and technology development. Unless explicitly permitted herein, User shall not otherwise publish, retransmit, disclose, display, copy, reproduce or redistribute the Data. User shall have no right to copy, redistribute, transmit, publish or otherwise use the Data for any other purpose.

Please see the README in each delivery archive for more details on the Data.

As a recipient of the Data, User agrees to:

  1. Insert the following statement in any product, report, publication, presentation, and/or other document that references the data: “This product contains or makes use of IARPA data, MATERIAL Kazakh-English Language Pack (LDC2025S03).”

  2. Accept the Data “as is.” User is solely responsible for any damage that may arise from its use of the Data. User agrees to hold the US Government (“USG”), the source of the Data, harmless and to indemnify the USG for all liabilities, demands, damages, expenses and losses arising out of its use for any purpose of the Data. Unless prohibited by law, User assumes all liability for claims for damages against it by third parties which may arise from the use, storage, or disposal of the Data, regardless of whether such liability is based on breach of contract, tort, strict liability, breach of warranties, infringement of intellectual property, failure of essential purpose or otherwise.

  3. Not further distribute the Data.

LDC has entered into a License Agreement with IARPA to distribute the Data. Under the terms of that License Agreement, LDC may be required to identify recipients of the Data to IARPA.

User shall give appropriate reference to the Data in scholarly publications whenever they are mentioned. The following citation format is required:

Gulnar Bekkozhanova, Aric Bills, Rachael Brunckhorst, Sarra Chouder, Cassian Corey, Eyal Dubinski, Corinna Ellis, Paul Gibby, Vanessa Jaralve, Michael Kazi, Julie Lam, Hanh Le, Nicolas Malyska, Giorgia Marcucci, Sarah Marvi, Sara McConnell, Jennifer Melot, Alyssa Mensch, Michelle Morrison, Shelley Paget, Katerina Ramizo, Frederick Richardson, Annette Roberts, Carl Rubino, Gulnar Sarseke, Zharas Taubayev, Jonathan Taylor, Brian Thompson, Audrey Tong, Richard Tong, Jennifer Yu, Ilya Zavorin. MATERIAL Kazakh-English Language Pack LDC2025S03. Web Download. Philadelphia: Linguistic Data Consortium, 2025.

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