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.
Papers are reviewed within less than three months of their receipt, and they appear as soon as they have been accepted – there are no delays typical of traditional paper journals. Accepted articles are then collected in half-yearly numbers and yearly volumes, with continuous page numbering, and are made available as hard copies via print on demand, at a nominal fee. On the other hand, Journal of Language Modelling has a fully traditional view of quality: all papers are carefully refereed by at least three reviewers (usually including at least one member of the Editorial Board) and they are only accepted if they adhere to the highest scientific, typographic and stylistic standards.
Apart from full-length articles, the journal also accepts squibs and polemics with other papers, as well as book reviews. All journal content appears on the Creative Commons Attribution 4.0 International Licence. JLM is indexed by ERIH PLUS, DBLP, DOAJ, EBSCO, Linguistics Abstracts Online, MLA Directory of Periodicals, and the Polish Ministry of Science and Education (list B). JLM is also a member of OASPA.
In order to submit an article, you have to be registered. Further submission instructions for Authors are available here.
Guest editors: Roni Katzir, Timothy J. O’Donnell, and Ezer Rasin.
(This is an incomplete early access version of this issue. The full issue will contain 5 original articles and guest editors' introduction.)
All content is licensed under the Creative Commons Attribution 4.0 International Licence.