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 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.<br /><br />Apart from full-length articles, the journal also accepts squibs and polemics with other papers. All journal content appears on the <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 <span class="cc-license-title">International</span> Licence</a>. JLM is indexed by <a href="https://www.scopus.com/results/results.uri?src=s&amp;sot=b&amp;sdt=b&amp;origin=searchbasic&amp;rr=&amp;sl=39&amp;s=SRCTITLE(Journal%20of%20Language%20Modelling)&amp;searchterm1=Journal%20of%20Language%20Modelling&amp;searchTerms=&amp;connectors=&amp;field1=SRCTITLE&amp;fields=">SCOPUS</a>, <a href="https://dbh.nsd.uib.no/publiseringskanaler/erihplus/periodical/info?id=480322">ERIH PLUS</a>, <a href="http://dblp.uni-trier.de/db/journals/jlm/">DBLP</a>, <a href="https://doaj.org/toc/a339b4740e97425ea7e5a2a32655eba5">DOAJ</a>, <a href="https://www.ebsco.com/">EBSCO</a>, <a href="http://www.linguisticsabstracts.com/">Linguistics Abstracts Online</a>, <a href="https://www.mla.org/Publications/MLA-International-Bibliography/MLA-Directory-of-Periodicals/About-the-Directory-of-Periodicals">MLA Directory of Periodicals</a>, and the Polish <a href="http://www.nauka.gov.pl/aktualnosci-ministerstwo/juz-sa-nowe-listy-punktowanych-czasopism-na-2015-rok.html">Ministry of Science and Education</a> (list B). 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> Institute of Computer Science of the Polish Academy of Sciences en-US Journal of Language Modelling 2299-856X <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> https://jlm.ipipan.waw.pl/index.php/JLM/article/view/397 <p class="p1">This paper presents a new computational implementation bridging several modules of grammar from phonetics to phonology to syntax. The system takes as input a speech signal annotated with syllables, interprets the phonetic data in phonological/prosodic terms, matches the data against a lexicon and makes the results available to a linguistically deep computational grammar. The system is showcased by means of syntactically ambiguous structures in German which can be disambiguated based on prosodic constituency information. A system evaluation with the German data showed good results for this new combination of automatic speech signal analysis and computational grammars, which takes a significant step towards a linguistically fine-grained computational analysis and hence towards real automatic speech understanding.</p> Tina Bögel Tianyi Zhao Copyright (c) 2025 Tina Bögel, Tianyi Zhao https://creativecommons.org/licenses/by/4.0 2025-01-30 2025-01-30 13 1 1–42 1–42 10.15398/jlm.v13i1.397