Code-switchingLanguageendangermentMultilingualspeakerGovernmentpolicyOut-of-vocabularywordsAnnotationlaborDatascarcityLanguagejusticeTonallanguageDiasporacommunityLow-resourcelanguageAfricanAIFine-tuningOpensourceWhoowns thedata?Tokenizationbias"Lowresource"AcademicpartnershipIndigenousdatasovereigntyCrowdsourcingTransliterationMorphologicalcomplexityScriptdiversityAIstartupMultilingualmodelsCulturalcontextlossLinguafrancabiasColoniallegacyRepresentationmattersGPTdoesn'tspeak mylanguageDigitalinclusionCommunitydatasetsProverbtranslationTrainingdataimbalanceVoiceinterfacesComputeaccessSpeech-to-textHonorificsOraltraditionDialectvariationHallucinationLanguagedocumentationCode-switchingLanguageendangermentMultilingualspeakerGovernmentpolicyOut-of-vocabularywordsAnnotationlaborDatascarcityLanguagejusticeTonallanguageDiasporacommunityLow-resourcelanguageAfricanAIFine-tuningOpensourceWhoowns thedata?Tokenizationbias"Lowresource"AcademicpartnershipIndigenousdatasovereigntyCrowdsourcingTransliterationMorphologicalcomplexityScriptdiversityAIstartupMultilingualmodelsCulturalcontextlossLinguafrancabiasColoniallegacyRepresentationmattersGPTdoesn'tspeak mylanguageDigitalinclusionCommunitydatasetsProverbtranslationTrainingdataimbalanceVoiceinterfacesComputeaccessSpeech-to-textHonorificsOraltraditionDialectvariationHallucinationLanguagedocumentation

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