MultilingualspeakerHonorificsComputeaccessColoniallegacyWhoowns thedata?DigitalinclusionTransliterationLanguagedocumentationMorphologicalcomplexityTrainingdataimbalanceTonallanguageIndigenousdatasovereigntyGPTdoesn'tspeak mylanguageDialectvariationLinguafrancabiasFine-tuningTokenizationbiasDatascarcitySpeech-to-textScriptdiversityCrowdsourcingOpensourceCommunitydatasetsMultilingualmodelsVoiceinterfacesOraltraditionOut-of-vocabularywords"Lowresource"AcademicpartnershipProverbtranslationGovernmentpolicyAnnotationlaborLanguagejusticeCulturalcontextlossDiasporacommunityHallucinationRepresentationmattersLanguageendangermentAIstartupCode-switchingLow-resourcelanguageAfricanAIMultilingualspeakerHonorificsComputeaccessColoniallegacyWhoowns thedata?DigitalinclusionTransliterationLanguagedocumentationMorphologicalcomplexityTrainingdataimbalanceTonallanguageIndigenousdatasovereigntyGPTdoesn'tspeak mylanguageDialectvariationLinguafrancabiasFine-tuningTokenizationbiasDatascarcitySpeech-to-textScriptdiversityCrowdsourcingOpensourceCommunitydatasetsMultilingualmodelsVoiceinterfacesOraltraditionOut-of-vocabularywords"Lowresource"AcademicpartnershipProverbtranslationGovernmentpolicyAnnotationlaborLanguagejusticeCulturalcontextlossDiasporacommunityHallucinationRepresentationmattersLanguageendangermentAIstartupCode-switchingLow-resourcelanguageAfricanAI

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