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