Music and spoken language share certain characteristics: both consist of sequences of
acoustic elements that are combinatorically combined, and these elements partition the …

Translationese is a phenomenon present in human translations, simultaneous interpreting,
and even machine translations. Some translationese features tend to appear in …

When generating natural language from neural probabilistic models, high probability does
not always coincide with high quality: It has often been observed that mode-seeking …

Human languages evolve to make communication more efficient. But efficiency creates trade-
offs: what is efficient for speakers is not always efficient for comprehenders. How do …

Abstract Language models based on artificial neural networks increasingly capture key
aspects of how humans process sentences. Most notably, model-based surprisals predict …

Vision-based emergent communication (EC) aims to learn to communicate through sketches
and demystify the evolution of human communication. Ironically, previous works neglect …

Recent advances in large language models (LLM) have enabled richer social simulations,
allowing for the study of various social phenomena. However, most recent work has used a …

The idea that ambiguity can be productive in data science remains controversial. Efforts to
make scientific publications and data intelligible to computers generally assume that …

Names for colors vary widely across languages, but color categories are remarkably
consistent. Shared mechanisms of color perception help explain consistent partitions of …

Human languages are replete with ambiguity. This is most evident in homophony––where
two or more words sound the same, but carry distinct meanings. For example, the wordform …