Advances in computer-assisted linguistic research have been greatly influential in reshaping
linguistic research. With the increasing availability of interconnected datasets created and …

The past decades have seen substantial growth in digital data on the world's languages. At
the same time, the demand for cross-linguistic datasets has been increasing, as witnessed …

Recent years have seen Bayesian phylogenetic methods from evolutionary biology applied
to questions about language evolution in two major contexts. First, language phylogenies …

Languages are known to describe the world in diverse ways. Across lexicons, diversity is
pervasive, appearing through phenomena such as lexical gaps and untranslatability …

Here, we describe the process used to generate the tree sample used for inference in this
paper, as well as the details of the inference process used to infer evolutionary transition …

In the first part of the article, we recall our general theory of linguistic channels—based on
regression lines between deep language parameters—and study their capacity and …

The statistical theory of language translation is used to compare how a literary character
speaks to different audiences by diversifying two important linguistic communication …

We propose the first statistical theory of language translation based on communication
theory. The theory is based on New Testament translations from Greek to Latin and to other …

Multilingual neural machine translation (MNMT) has attracted more and more attention in
recent days because it can use a single neural machine translation (NMT) model to translate …

The study was performed in the framework of Nostratic, which is defined as a branch of
comparative historical linguistics that postulates a distant genetic relationship between the …