R
Richard Futrell
Researcher at University of California, Irvine
Publications - 107
Citations - 2607
Richard Futrell is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Computer science & Word order. The author has an hindex of 23, co-authored 88 publications receiving 1801 citations. Previous affiliations of Richard Futrell include Massachusetts Institute of Technology & Apple Inc..
Papers
More filters
Journal ArticleDOI
Large-scale evidence of dependency length minimization in 37 languages.
TL;DR: Using parsed corpora of 37 diverse languages, it is shown that overall dependency lengths for all languages are shorter than conservative random baselines, suggesting that dependency length minimization is a universal quantitative property of human languages.
Journal ArticleDOI
How Efficiency Shapes Human Language.
Edward Gibson,Richard Futrell,Steven Piantadosi,Isabelle Dautriche,Kyle Mahowald,Leon Bergen,Roger Levy +6 more
TL;DR: These studies show how a pervasive pressure for efficiency guides the forms of natural language and indicate that a rich future for language research lies in connecting linguistics to cognitive psychology and mathematical theories of communication and inference.
Journal ArticleDOI
A meta-analysis of syntactic priming in language production
TL;DR: The authors performed an exhaustive meta-analysis of 73 peer-reviewed journal articles on syntactic priming from the seminal Bock (1986) paper through 2013 and found a robust effect with an average weighted odds ratio of 1.67 when there was no lexical overlap and 3.26 when there is.
Journal ArticleDOI
Color naming across languages reflects color use
Edward Gibson,Richard Futrell,Julian Jara-Ettinger,Kyle Mahowald,Leon Bergen,Sivalogeswaran Ratnasingam,Mitchell Gibson,Steven Piantadosi,Bevil R. Conway +8 more
TL;DR: It is suggested that the cross-linguistic similarity in color-naming efficiency reflects colors of universal usefulness and provides an account of a principle (color use) that governs how color categories come about.
Proceedings ArticleDOI
What do RNN Language Models Learn about Filler-Gap Dependencies?
TL;DR: These studies demonstrates that state-of-the-art RNN models are able to learn and generalize about empty syntactic positions, and shows that RNNs show evidence for wh-islands, adjunct islands, and complex NP islands.