ProverbtranslationGovernmentpolicyOut-of-vocabularywordsCommunitydatasetsComputeaccessLanguageendangermentTrainingdataimbalanceCrowdsourcingLinguafrancabiasMultilingualmodelsVoiceinterfacesWhoowns thedata?LanguagedocumentationOraltraditionDiasporacommunity"Lowresource"Speech-to-textAcademicpartnershipCode-switchingDialectvariationTokenizationbiasRepresentationmattersHallucinationOpensourceLow-resourcelanguageMorphologicalcomplexityScriptdiversityAfricanAIDigitalinclusionLanguagejusticeIndigenousdatasovereigntyAIstartupFine-tuningCulturalcontextlossAnnotationlaborTonallanguageHonorificsTransliterationGPTdoesn'tspeak mylanguageMultilingualspeakerColoniallegacyDatascarcityProverbtranslationGovernmentpolicyOut-of-vocabularywordsCommunitydatasetsComputeaccessLanguageendangermentTrainingdataimbalanceCrowdsourcingLinguafrancabiasMultilingualmodelsVoiceinterfacesWhoowns thedata?LanguagedocumentationOraltraditionDiasporacommunity"Lowresource"Speech-to-textAcademicpartnershipCode-switchingDialectvariationTokenizationbiasRepresentationmattersHallucinationOpensourceLow-resourcelanguageMorphologicalcomplexityScriptdiversityAfricanAIDigitalinclusionLanguagejusticeIndigenousdatasovereigntyAIstartupFine-tuningCulturalcontextlossAnnotationlaborTonallanguageHonorificsTransliterationGPTdoesn'tspeak mylanguageMultilingualspeakerColoniallegacyDatascarcity

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