MATERIAL Farsi-English Language Pack
| Item Name: | MATERIAL Farsi-English Language Pack |
| Author(s): | Aric Bills, Sarra Chouder, Cassian Corey, Marjan Davoodian, Eyal Dubinski, Corinna Ellis, Reza Farnam, Paul Gibby, Luke Hartwig, Dagmara Kalnins, Michael Kazi, Julie Lam, Hanh Le, Nicolas Malyska, Sarah Marvi, Sara McConnell, Jennifer Melot, Alyssa Mensch, Alex Moore, Michelle Morrison, Shelley Paget, Frederick Richardson, Annette Roberts, Carl Rubino, Marjan Sadeghi Moaddel, Bern Samko, Kenneth Saw, Pradeepti Sen, Rosanna Smith, Jonathan Taylor, Brian Thompson, Audrey Tong, Richard Tong, Andrew Weller, Sasha Wilmoth, Jennifer Yu, Ilya Zavorin |
| LDC Catalog No.: | LDC2024S13 |
| ISLRN: | 202-347-751-598-9 |
| DOI: | https://doi.org/10.35111/7dhe-8213 |
| Release Date: | December 16, 2024 |
| Member Year(s): | 2024 |
| DCMI Type(s): | Sound, Text |
| Sample Type: | alaw |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Application(s): | information retrieval, speech recognition |
| Language(s): | English, Persian |
| Language ID(s): | eng, fas |
| License(s): |
MATERIAL Farsi-English Agreement (For-Profit) MATERIAL Farsi-English Agreement (Non-Member) MATERIAL Farsi-English Agreement (Not-For-Profit) |
| Online Documentation: | LDC2024S13 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Bills, Aric, et al. MATERIAL Farsi-English Language Pack LDC2024S13. Web Download. Philadelphia: Linguistic Data Consortium, 2024. |
| Related Works: | View |
Introduction
MATERIAL Farsi-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 61 hours of Farsi 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 Farsi speech in this release represents that spoken in the Greater Tehran, Central/Southwest, Northeast, and Northwest dialect regions of Iran, as well as a standard formal dialect in use throughout the country. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 67 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.
Transcripts cover approximately a third of the speech data, and approximately 3% of the speech data was translated into English. Further information about transcription and translation methodologies is contained in the documentation accompanying this release.
Farsi-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 either as two channel wav or single channel sphere files, both in 8kHz A-law format. All text data is UTF-8 encoded.
Samples
Please view the following samples:
Updates
None at this time.