3 papers
cs.CL2026
When transformers learn "impossible" languages, what do they learn?
Ram Janarthan, Coleman Haley, Sharon Goldwater
Recent work suggests that transformer language models show a bias towards human languages over unnatural ("impossible") languages argued to be unacquirable by humans. However, this…
cs.CL2026
Is Information Density Uniform when Utterances are Grounded on Perception and Discourse?
Matteo Gay, Coleman Haley, Mario Giulianelli +1
The Uniform Information Density (UID) hypothesis posits that speakers are subject to a communicative pressure to distribute information evenly within utterances, minimising surpris…
cs.CL2024
A Grounded Typology of Word Classes
Coleman Haley, Sharon Goldwater, Edoardo Ponti
We propose a grounded approach to meaning in language typology. We treat data from perceptual modalities, such as images, as a language-agnostic representation of meaning. Hence, w…