Aaron Wing Cheung Chik

• Machine-learning errors in Hong Kong Sign Language handshape recognition reflect markedness patterns attested in learning

  Open Access•Frank Li Hui Tan, Aaron Wing Cheung Chik et al.•ARTICLE•Sign Language & Linguistics•2026

  Añadir item

  Handshapes are a fundamental component of sign language phonology yet pose great difficulty for learners, who acquire handshapes according to physiological complexity, phonological features, and motor skills. Advances in machine-learning have led to handshape recognition models yielding high accuracy. Such models are designed for data processing, and it is unclear whether any errors made during training resemble those of humans. We present a hand…

• Iconic hand gestures from ideophones exhibit stability and emergent phonological properties

  Open Access•A H Thompson, Thomas Van Hoey et al.•ARTICLE•Cognitive Linguistics•2025•Referencias: 8

  Añadir item

  Ideophones are marked words which depict sensory imagery and are usually considered iconic by native speakers (i.e., ideophones sound like what they mean). Owing to shared cross-linguistic characteristics of expressive prosody, reduplication, and unusual phonological structure, ideophones have been likened to meaning performed. Iconic hand gestures frequently occur alongside ideophones choreographed to the timing of syllables. Given the visual mo…

• Iconic hand gestures from ideophones exhibit stability and emergent phonological properties

  Open Access•A H Thompson, Thomas Van Hoey et al.•ARTICLE•Cognitive Linguistics•2025•Referencias: 8

  Añadir item

  Ideophones are marked words which depict sensory imagery and are usually considered iconic by native speakers (i.e., ideophones sound like what they mean). Owing to shared cross-linguistic characteristics of expressive prosody, reduplication, and unusual phonological structure, ideophones have been likened to meaning performed. Iconic hand gestures frequently occur alongside ideophones choreographed to the timing of syllables. Given the visual mo…

• Machine-learning errors in Hong Kong Sign Language handshape recognition reflect markedness patterns attested in learning

  Open Access•Frank Li Hui Tan, Aaron Wing Cheung Chik et al.•ARTICLE•Sign Language & Linguistics•2026

  Añadir item

  Handshapes are a fundamental component of sign language phonology yet pose great difficulty for learners, who acquire handshapes according to physiological complexity, phonological features, and motor skills. Advances in machine-learning have led to handshape recognition models yielding high accuracy. Such models are designed for data processing, and it is unclear whether any errors made during training resemble those of humans. We present a hand…

Hearing Impairment and Communication (2 obras) · Phonology (2 obras) · American Sign Language (1 obras) · Cognitive psychology (1 obras) · Communication (1 obras) · Communication (1 obras) · Gesture (1 obras) · Hand Gesture Recognition Systems (1 obras) · Language and cultural evolution (1 obras) · Linguistics (1 obras)