Journal of Language Modelling

Aims & Scope

Journal of Language Modelling is a free (for readers and authors alike) open-access peer-reviewed journal aiming to bridge the gap between theoretical linguistics and natural language processing. Although typical articles are concerned with linguistic generalisations – either with their application in natural language processing, or with their discovery in language corpora – possible topics range from linguistic analyses which are sufficiently precise to be implementable to mathematical models of aspects of language, and further to computational systems making non-trivial use of linguistic insights. We welcome articles on deeper linguistic aspects of large language models. However, articles focusing on the development of language models and their application to linguistic data without deeper linguistic insights are not in the scope of the Journal of Language Modelling.

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification