In this talk, I will present R language (or simply R ), a dynamic, lazy, functional, programming language that was designed in 1993 by Ross Ihaka and Robert Gentleman. R adopts the underlying evaluation model of Scheme with the syntax of S, (a programming language, which was developed by John Chambers at Bell Laboratories).
R is an open-source programming language and the flexible statistical analysis toolkit implemented in R , made it the lingua franca for doing statistics. The R package repository (CRAN) features 7861 available packages, which extent the language. Also, there are guides on CRAN that group sets of R packages and functions by type of analysis, fields, or methodologies (e.g. Bayesian Inference, Probability Distributions, Machine Learning, Natural Language Processing).
The statistical capabilities of R along with its functional capabilities can transform R into a rich environment for doing Type Theory. Thus, I will conclude this talk by discussing possible extensions of R for A Probabilistic Rich Type Theory for Semantic Interpretation (Cooper, Dobnik, Lappin, and Larsson, 2015).
Time: 3:00 PM – 5:00 PM
Organizer: Centre for Language Technology, Gothenburg
Location: Seminar Room, Dicksongatan 4
Contact person: Dana Dannélls