DigitalinclusionComputeaccessTransliterationTonallanguageDiasporacommunity"Lowresource"Speech-to-textCommunitydatasetsGovernmentpolicyFine-tuningOut-of-vocabularywordsTrainingdataimbalanceAcademicpartnershipLinguafrancabiasOraltraditionAfricanAILow-resourcelanguageProverbtranslationCrowdsourcingMultilingualmodelsAIstartupOpensourceCulturalcontextlossCode-switchingColoniallegacyWhoowns thedata?AnnotationlaborTokenizationbiasLanguagedocumentationHallucinationGPTdoesn'tspeak mylanguageLanguagejusticeVoiceinterfacesMultilingualspeakerDatascarcityIndigenousdatasovereigntyRepresentationmattersMorphologicalcomplexityHonorificsDialectvariationLanguageendangermentScriptdiversityDigitalinclusionComputeaccessTransliterationTonallanguageDiasporacommunity"Lowresource"Speech-to-textCommunitydatasetsGovernmentpolicyFine-tuningOut-of-vocabularywordsTrainingdataimbalanceAcademicpartnershipLinguafrancabiasOraltraditionAfricanAILow-resourcelanguageProverbtranslationCrowdsourcingMultilingualmodelsAIstartupOpensourceCulturalcontextlossCode-switchingColoniallegacyWhoowns thedata?AnnotationlaborTokenizationbiasLanguagedocumentationHallucinationGPTdoesn'tspeak mylanguageLanguagejusticeVoiceinterfacesMultilingualspeakerDatascarcityIndigenousdatasovereigntyRepresentationmattersMorphologicalcomplexityHonorificsDialectvariationLanguageendangermentScriptdiversity

Local Language NLP Bingo! - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Digital inclusion
  2. Compute access
  3. Transliteration
  4. Tonal language
  5. Diaspora community
  6. "Low resource"
  7. Speech-to-text
  8. Community datasets
  9. Government policy
  10. Fine-tuning
  11. Out-of-vocabulary words
  12. Training data imbalance
  13. Academic partnership
  14. Lingua franca bias
  15. Oral tradition
  16. African AI
  17. Low-resource language
  18. Proverb translation
  19. Crowdsourcing
  20. Multilingual models
  21. AI startup
  22. Open source
  23. Cultural context loss
  24. Code-switching
  25. Colonial legacy
  26. Who owns the data?
  27. Annotation labor
  28. Tokenization bias
  29. Language documentation
  30. Hallucination
  31. GPT doesn't speak my language
  32. Language justice
  33. Voice interfaces
  34. Multilingual speaker
  35. Data scarcity
  36. Indigenous data sovereignty
  37. Representation matters
  38. Morphological complexity
  39. Honorifics
  40. Dialect variation
  41. Language endangerment
  42. Script diversity