Speech- to-text Morphological complexity Oral tradition Annotation labor Tokenization bias GPT doesn't speak my language Tonal language Voice interfaces Government policy Language endangerment Data scarcity Who owns the data? Colonial legacy Representation matters Language documentation Free square ⭐ Dialect variation Compute access Low- resource language Training data imbalance Lingua franca bias AI startup Language justice Open source Crowdsourcing Out-of- vocabulary words Indigenous data sovereignty Cultural context loss Digital inclusion African AI Academic partnership Proverb translation Hallucination Transliteration Multilingual models Fine- tuning Community datasets Script diversity Code- switching Diaspora community Multilingual speaker Honorifics "Low resource" Speech- to-text Morphological complexity Oral tradition Annotation labor Tokenization bias GPT doesn't speak my language Tonal language Voice interfaces Government policy Language endangerment Data scarcity Who owns the data? Colonial legacy Representation matters Language documentation Free square ⭐ Dialect variation Compute access Low- resource language Training data imbalance Lingua franca bias AI startup Language justice Open source Crowdsourcing Out-of- vocabulary words Indigenous data sovereignty Cultural context loss Digital inclusion African AI Academic partnership Proverb translation Hallucination Transliteration Multilingual models Fine- tuning Community datasets Script diversity Code- switching Diaspora community Multilingual speaker Honorifics "Low resource"
(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.
Speech-to-text
Morphological complexity
Oral tradition
Annotation labor
Tokenization bias
GPT doesn't speak my language
Tonal language
Voice interfaces
Government policy
Language endangerment
Data scarcity
Who owns the data?
Colonial legacy
Representation matters
Language documentation
Free square ⭐
Dialect variation
Compute access
Low-resource language
Training data imbalance
Lingua franca bias
AI startup
Language justice
Open source
Crowdsourcing
Out-of-vocabulary words
Indigenous data sovereignty
Cultural context loss
Digital inclusion
African AI
Academic partnership
Proverb translation
Hallucination
Transliteration
Multilingual models
Fine-tuning
Community datasets
Script diversity
Code-switching
Diaspora community
Multilingual speaker
Honorifics
"Low resource"