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Speech recognition, machine translation, and corpus analysis for identifying farmer demands and targeting digital extension


Type:
Report
Title:
Speech recognition, machine translation, and corpus analysis for identifying farmer demands and targeting digital extension
Creator:
Jones-Garcia, E.
Year:
2022
URI:
https://hdl.handle.net/10883/22379
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Place of Publication:
Mexico
Publisher:
CIMMYT; Farm Radio International
Citation:
Speech recognition, machine translation, and corpus analysis for identifying farmer demands and targeting digital extension. 2022. CIMMYT. Farm Radio International.

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CGIAR Initiatives

Initiative:
Digital Innovation
Impact Area:
Poverty reduction, livelihoods & jobs
Action Area:
Systems Transformation
Donor or Funder:
CGIAR Trust Fund
CGSpace URL:
https://hdl.handle.net/10568/126954

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  • Sustainable Agrifood Systems

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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