Search Results for author: Simon Kirby

Found 8 papers, 6 papers with code

Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability

no code implementations ICLR 2022 Shangmin Guo, Yi Ren, Kory Wallace Mathewson, Simon Kirby, Stefano V Albrecht, Kenny Smith

Researchers are using deep learning models to explore the emergence of language in various language games, where simulated agents interact and develop an emergent language to solve a task.

Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability

1 code implementation7 Jun 2021 Shangmin Guo, Yi Ren, Kory Mathewson, Simon Kirby, Stefano V. Albrecht, Kenny Smith

Researchers are using deep learning models to explore the emergence of language in various language games, where agents interact and develop an emergent language to solve tasks.

Conceptual similarity and communicative need shape colexification: an experimental study

1 code implementation19 Mar 2021 Andres Karjus, Richard A. Blythe, Simon Kirby, Tianyu Wang, Kenny Smith

Colexification refers to the phenomenon of multiple meanings sharing one word in a language.

Communicative need modulates competition in language change

1 code implementation16 Jun 2020 Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith

By contrast, in topics which are increasing in importance for language users, near-synonymous words tend not to compete directly and can coexist.

Compositional Languages Emerge in a Neural Iterated Learning Model

1 code implementation ICLR 2020 Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby

The principle of compositionality, which enables natural language to represent complex concepts via a structured combination of simpler ones, allows us to convey an open-ended set of messages using a limited vocabulary.

Challenges in detecting evolutionary forces in language change using diachronic corpora

1 code implementation3 Nov 2018 Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith

Newberry et al. (Detecting evolutionary forces in language change, Nature 551, 2017) tackle an important but difficult problem in linguistics, the testing of selective theories of language change against a null model of drift.

Time Series Time Series Analysis

Quantifying the dynamics of topical fluctuations in language

1 code implementation2 Jun 2018 Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith

In this work, we introduce a simple model for controlling for topical fluctuations in corpora - the topical-cultural advection model - and demonstrate how it provides a robust baseline of variability in word frequency changes over time.

Time Series Time Series Analysis

The cognitive roots of regularization in language

no code implementations9 Mar 2017 Vanessa Ferdinand, Simon Kirby, Kenny Smith

Regularization occurs when the output a learner produces is less variable than the linguistic data they observed.

Cannot find the paper you are looking for? You can Submit a new open access paper.