Call for Papers: 5th International Workshop on Computational Approaches to Historical Language Change 2024 (LChange’24)
The LChange workshop has been successful in the past, with four previous editions in 2019, 2021, 2022, and 2023. This year, the workshop will focus on all aspects of computational approaches to language change, including digital text resources, computational methodologies, and evaluation of language change. The workshop also aims to support discussion on evaluating computational methodologies for uncovering language change.
The workshop will offer mentorship to students who want to discuss their research topic with a member of the field, regardless of whether they are submitting a paper or not. The workshop will also include a shared task on Explainable Semantic Change Modeling called AXOLOTL-24, which will be organized by Mariia Fedorova and Andrey Kutuzov from the University of Oslo, Timothee Mickus, Niko Partanen, and Janine Siewert from the University of Helsinki, and Elena Spaziani from Sapienza University Rome.
The AXOLOTL-24 shared task will present two subtasks: finding the target word usages associated with new, gained senses and describing these senses in a way that facilitates understanding and lexicographical research. The shared task is now finished, and the leaderboards are published, but participants can still submit a paper to LChange for the post-evaluation phase.
The workshop invites original research papers from a wide range of topics, including but not limited to novel methods for detecting diachronic semantic change and lexical replacement, automatic discovery and quantitative evaluation of laws of language change, computational theories and generative models of language change, sense-aware (semantic) change analysis, diachronic word sense disambiguation, and novel applications and implications of language change detection.
The workshop accepts two types of submissions: long papers consisting of up to eight pages of content, plus unlimited references, and short papers consisting of up to four pages of content, plus unlimited references. The final versions of the papers will be given one additional page of content so that reviewers’ comments can be taken into account. The workshop also welcomes papers focusing on releasing a dataset or a model, which fall into the short paper category.
Accepted papers will be presented orally or as posters and included in the workshop proceedings. The workshop uses a double-blind peer review process, and if you have published in the field previously and are interested in helping out in the program committee to review papers, please send an email to the workshop organizers.
The workshop organizers are Nina Tahmasebi from the University of Gothenburg, Syrielle Montariol from École polytechnique fédérale de Lausanne, Andrey Kutuzov from the University of Oslo, Simon Hengchen from iguanodon.ai and Université de Genève, David Alfter from the University of Gothenburg, Francesco Periti from the University of Milan, and Pierluigi Cassotti from the University of Gothenburg.