AnnotationlaborFine-tuningProverbtranslationLanguagedocumentationTransliterationAIstartupDialectvariationLinguafrancabiasSpeech-to-text"Lowresource"GovernmentpolicyHallucinationVoiceinterfacesTokenizationbiasLow-resourcelanguageCode-switchingGPTdoesn'tspeak mylanguageTrainingdataimbalanceOut-of-vocabularywordsWhoowns thedata?MorphologicalcomplexityTonallanguageDatascarcityCulturalcontextlossRepresentationmattersAfricanAILanguagejusticeScriptdiversityMultilingualmodelsColoniallegacyDiasporacommunityDigitalinclusionLanguageendangermentOraltraditionIndigenousdatasovereigntyCommunitydatasetsCrowdsourcingAcademicpartnershipComputeaccessHonorificsMultilingualspeakerOpensourceAnnotationlaborFine-tuningProverbtranslationLanguagedocumentationTransliterationAIstartupDialectvariationLinguafrancabiasSpeech-to-text"Lowresource"GovernmentpolicyHallucinationVoiceinterfacesTokenizationbiasLow-resourcelanguageCode-switchingGPTdoesn'tspeak mylanguageTrainingdataimbalanceOut-of-vocabularywordsWhoowns thedata?MorphologicalcomplexityTonallanguageDatascarcityCulturalcontextlossRepresentationmattersAfricanAILanguagejusticeScriptdiversityMultilingualmodelsColoniallegacyDiasporacommunityDigitalinclusionLanguageendangermentOraltraditionIndigenousdatasovereigntyCommunitydatasetsCrowdsourcingAcademicpartnershipComputeaccessHonorificsMultilingualspeakerOpensource

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