*4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23)*

We are happy to announce that we will organize a full-day workshop co-located with EMNLP (December 6-10, 2023). We hope to make this fourth edition another resounding success!
Website: https://www.changeiskey.org/event/2023-emnlp-lchange/
Contact email: lchange2023@changeiskey.org


Workshop description
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The fourth LChange workshop will be co-located with EMNLP 2023 to be held in Singapore, during December 6-10, 2023 as a hybrid event.

* The call for papers will be similar to last time: all aspects around computational approaches to historical language change with a focus on digital text corpora. LChange explores state-of-the-art computational methodologies, theories and digital text resources to investigate the time-varying nature of human language.
* The aim of this workshop is to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating research on topics concerning language change. Besides these goals, this workshop will also support discussion on evaluating computational methodologies for uncovering language change.

Via our sponsor, Iguanodon.ai, we can offer one free registration for a PhD student! Apply by emailing us your short cv and why you need your registration paid.


Important Dates
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* September 1, 2023: Paper submission
* October 6, 2023: Notification of acceptance
* October 18, 2023: Camera-ready papers due
* December 6-10, 2023: EMNLP conference dates


Submissions
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We accept two types of submissions, long and short papers, following the EMNLP 2023 style (you can also directly use the Overleaf template), and the ACL submission policy. Model and dataset papers fall into the short paper category.
Long and short papers may consist of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account.
LChange’23 also welcomes papers focusing on releasing a dataset or a model; these papers fall into the short paper category.

We invite 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
* Novel methods for diachronic analysis of low-resource languages
* Novel methods for diachronic linguistic data visualization
* Novel applications and implications of language change detection
* Quantification of sociocultural influences on language change
* Cross-linguistic, phylogenetic, and developmental approaches to language change
* Novel datasets for cross-linguistic and diachronic analyses of language

Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please send us an email!


Keynote Talks
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We have two amazing keynote speakers:

Gemma Boleda (Universitat Pompeu Fabra),on “What does semantic change have to do with Hello Kitty? Referring as the source of change”.
Mario Giulianelli (ETH Zurich), on “Word usage representations from neural language models”.


Workshop organizers
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Nina Tahmasebi, University of Gothenburg
Syrielle Montariol, École polytechnique fédérale de Lausanne
Haim Dubossarsky, Queen Mary University of London
Andrey Kutuzov, University of Oslo
Simon Hengchen, University of Gothenburg
David Alfter, University of Gothenburg
Francesco Periti, University of Milan
Pierluigi Cassotti, University of Bari Aldo Moro