Multimodal Humor Β· 13 African & Vehicular Languages

A multimodal humor
benchmark across African languages.

AfriHumor is an annotator-driven workbench building the first multimodal benchmark for humor and social intelligence across African languages, spanning 13 languages (indigenous African languages plus English and French as spoken by Africans). Because true humor relies on cultural nuance, pragmatics, and shared knowledge rather than mechanical translation from English, we capture word-level speech, prosody, visual delivery, and comedic structures from authentic comedy with native tonal and diacritic keyboards. We start with the 13 languages below and expand coverage as new annotators come on board.

Google OAuth 2.0 Β· 13 Active Language Tracks
AfriHumor African Multimodal Humor Benchmark
13 languages Annotating now Β· scroll to explore
✦ Coverage grows with the team, expanding as new annotators join.
What We Capture

Multimodal humor, annotated at the clip level

Each comedy clip is annotated across four core modalities so the benchmark supports both humor understanding and generation, capturing authentic cultural resonance without relying on laugh tracks.

M1 Β· SPEECH & DIACRITICS
Speech & Word-Level ASR
Word-level aligned transcripts with soft tonal keyboards and AI-assisted diacritization for African languages.
Example: Yoruba tone markers, Igbo diacritics, and code-mixed punchlines preserved accurately.
M2 Β· PROSODY & DELIVERY
Prosodic Timing & Cues
Pitch variation, deliberate comedic pauses, elongated vowels, and acoustic delivery anchored to timestamps.
Example: Dramatic pause right before a punchline or sarcastic drop in pitch.
M3 Β· VISUAL HUMOR
Facial Cues & Physical Gags
Keyframe capture with structured visual tags for exaggerated expressions, side-eyes, gestures, and props.
Example: Deadpan facial expression contrasting with high-energy physical slapstick.
M4 Β· CULTURAL IRONY
Linguistic Irony & Subtext
Taxonomy of satire, sarcasm, cultural in-jokes, and pragmatic double entendres reviewed for agreement.
Example: Proverbs twisted for comedic irony that standard MT completely misses.
Built for the languages we annotate. Tonal and diacritic support (Keyman and in-app soft keyboards) is configured per language (including English and French as spoken by Africans) so new annotators can onboard with the right input tools from day one, and the language registry grows whenever the team does.

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