Journal of Language Modelling https://jlm.ipipan.waw.pl/index.php/JLM <p>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. <span lang="EN-US">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.</span> </p> <p><br />Papers 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.<br /><br />Apart from full-length articles, the journal also accepts squibs and polemics with other papers. 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JLM is also a member of <a href="http://oaspa.org/member/journal-of-language-modelling/">OASPA</a>.<br /><br />In order to submit an article, you have to be registered. Further <strong><a href="https://jlm.ipipan.waw.pl/index.php/JLM/about/submissions">submission instructions for Authors are available here</a></strong>.</p> en-US <p><a href="http://creativecommons.org/licenses/by/3.0/" rel="license"><img style="border-width: 0;" src="http://i.creativecommons.org/l/by/3.0/80x15.png" alt="Creative Commons License" /></a><br />All content is licensed under the <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="license noopener">Creative Commons Attribution 4.0 International Licence</a>.</p> jlm@ipipan.waw.pl (JLM Editors) jlm@ipipan.waw.pl (JLM Editors) Mon, 15 Sep 2025 00:00:00 +0200 OJS 3.3.0.10 http://blogs.law.harvard.edu/tech/rss 60 Ground promotion and complex particle constructions in Norwegian https://jlm.ipipan.waw.pl/index.php/JLM/article/view/396 <p>This paper presents an HPSG analysis of Norwegian particle constructions with Ground promotion, as exemplified in (1), where <em>av</em> ‘off’ functions as a particle and the object <em>bordet</em> ‘the table’ is a Ground argument.</p> <p>(1) Jeg rydder AV bordet.<br />I clear off table.DEF<br />‘I clear the table.’</p> <p>It will be shown that the Ground promotion construction has similarities with both regular particle constructions and constructions with selected prepositions, and an analysis will be presented where Ground promotion is assumed to be a combination of these two constructions, <em>viz</em>. a complex particle construction. The analysis is implemented in a bidirectional typed feature structure grammar, and it will demonstrate that unification and type inheritance facilitates the merger of two constructions into one, while simultaneously allowing them to be kept apart.</p> Petter Haugereid Copyright (c) 2025 Petter Haugereid https://creativecommons.org/licenses/by/4.0 https://jlm.ipipan.waw.pl/index.php/JLM/article/view/396 Mon, 15 Sep 2025 00:00:00 +0200 In search of semantic distance: metaphoric and non-metaphoric constructions in static and contextual representations https://jlm.ipipan.waw.pl/index.php/JLM/article/view/437 <p>Phrases such as burning question, digital waste or invasion of technology are relatively ordinary expressions understood by any speaker of English. While diverse in structure and meaning, they demonstrate a semantic tension between the basic meanings of a metaphoric and a non-metaphoric constituent. Albeit frequent in discourse, they remain a challenge for automatic language processing systems, especially for smaller, less represented languages. In this work, we inspect a broad array of language models to embed noun phrases in Slovene and investigate the potential of word embeddings to identify metaphoric phrases via the semantic distance of its constituents as measured via cosine similarity. The study shows both static and contextual monolingual embeddings encode relevant semantic information while multilingual embeddings demonstrate no significant effect in this experimental setting. Moreover, the study unravels the most effective layers for basic meaning representation and highlights the influence of other, non-semantic factors on cosine similarity. By shedding light on these mechanisms, the study provides new insights for both metaphor processing and our understanding of the inner workings of language models.</p> Mojca Brglez, Špela Vintar Copyright (c) 2025 Mojca Brglez, Špela Vintar https://creativecommons.org/licenses/by/4.0 https://jlm.ipipan.waw.pl/index.php/JLM/article/view/437 Mon, 15 Sep 2025 00:00:00 +0200