BibTeX

@misc{cousse-etal-2023-inget-324690,
	title        = {Inget stöd i forskningen för att de/dem slås ut},
	author       = {Coussé, Evie and Adesam, Yvonne and Berdicevskis, Aleksandrs},
	year         = {2023},
	number       = {2023-03-20},
}

@article{ehret-etal-2023-measuring-326113,
	title        = {Measuring language complexity: challenges and opportunities},
	journal      = {Linguistics Vanguard},
	author       = {Ehret, Katharina and Berdicevskis, Aleksandrs and Bentz, Christian and Blumenthal-Dramé, Alice},
	year         = {2023},
}

@article{berdicevskis-etal-2024-drop-326112,
	title        = {To drop or not to drop? Predicting the omission of the infinitival marker in a Swedish future construction},
	journal      = {Corpus Linguistics and Linguistic Theory},
	author       = {Berdicevskis, Aleksandrs and Coussé, Evie and Koplenig, Alexander and Adesam, Yvonne},
	year         = {2024},
	volume       = {20},
	number       = {1},
	pages        = {219–261},
}

@inProceedings{berdicevskis-erbro-2023-tomato-326355,
	title        = {You say tomato, I say the same: A large-scale study of linguistic accommodation in online communities},
	booktitle    = {Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)},
	author       = {Berdicevskis, Aleksandrs and Erbro, Viktor},
	year         = {2023},
	ISBN         = {978-99-1621-999-7},
}

@incollection{tahmasebi-dubossarsky-2023-computational-325543,
	title        = {Computational modeling of semantic change},
	abstract     = {In this chapter we provide an overview of computational modeling for semantic change using large and semi-large textual corpora. We aim to provide a key for the interpretation of relevant methods and evaluation techniques, and also provide insights into important aspects of the computational study of semantic change. We discuss the pros and cons of different classes of models with respect to the properties of the data from which one wishes to model semantic change, and which avenues are available to evaluate the results. This chapter is forthcoming as the book has not yet been published. },
	booktitle    = {Routledge Handbook of Historical Linguistics, 2nd edition},
	author       = {Tahmasebi, Nina and Dubossarsky, Haim},
	year         = {2023},
	publisher    = {Routledge},
}

@inProceedings{kokkinakis-etal-2023-prevalence-324818,
	title        = {The Prevalence of mRNA Related Discussions during the Post-COVID-19 Era},
	abstract     = {Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy and skepticism are raising serious concerns for a portion of the population in many countries, including Sweden. In this study, we use Swedish social media data and structural topic modeling to automatically identify mRNA-vaccine related discussion themes and gain deeper insights into how people’s refusal or acceptance of the mRNA technology affects vaccine uptake. Our point of departure is a scientific study published in February 2022, which seems to once again sparked further suspicion and concern and highlight the necessity to focus on issues about the nature and trustworthiness in vaccine safety. Structural topic modelling is a statistical method that facilitates the study of topic prevalence, temporal topic evolution, and topic correlation automatically. Using such a method, our research goal is to identify the current understanding of the mechanisms on how the public perceives the mRNA vaccine in the light of new experimental findings.},
	booktitle    = { Caring is Sharing – Exploiting the Value in Data for Health and Innovation / M. Hägglund et al. (eds.) Proceedings of the 33rd Medical Informatics Europe Conference (MIE2023), Gothenburg, Sweden, 22-25 May 2023},
	author       = {Kokkinakis, Dimitrios and Bruinsma, Sebastianus Cornelis Jacobus  and Hammarlin, Mia-Marie},
	year         = {2023},
	publisher    = {IOS Press},
	ISBN         = {978-1-64368-388-1},
}

@inProceedings{kokkinakis-etal-2023-investigating-325628,
	title        = {Investigating the Effects of MWE Identification in Structural Topic Modelling
},
	abstract     = {Multiword expressions (MWEs) are common word combinations which exhibit idiosyncrasies in various linguistic levels. For various downstream natural language processing applications and tasks, the identification and discovery of MWEs has been proven to be potentially practical and useful, but still challenging to codify. In this paper we investigate various, relevant to MWE, resources and tools for Swedish, and, within a specific application scenario, we apply structural topic modelling to investigate whether there are any interpretative advantages of identifying MWEs.},
	booktitle    = {The 19th Workshop on Multiword Expressions (MWE 2023)},
	author       = {Kokkinakis, Dimitrios and Muñoz Sánchez, Ricardo and Bruinsma, Sebastianus C. J. and Hammarlin, Mia-Marie},
	year         = {2023},
	publisher    = {ACL},
	ISBN         = {978-1-959429-59-3},
}

@incollection{holmer-blensenius-2023-stavning-323528,
	title        = {Stavning och böjning av lånord. De orange blinkrarna},
	abstract     = {Holmer & Blensenius har bidragit med underlag till kapitlet i fråga. Den slutliga utformningen har gjorts av Språkrådet.},
	booktitle    = {Maria Bylin & Björn Melander (red.). Språkrådet rekommenderar. Perspektiv, metoder och avvägningar i språkriktighetsfrågor},
	author       = {Holmer, Louise and Blensenius, Kristian},
	year         = {2023},
	publisher    = {Språkrådet, Institutet för språk och folkminnen},
	address      = {Stockholm},
	ISBN         = {978-91-86959-90-6},
	pages        = {93--104},
}

@misc{blensenius-holmer-2023-saol-324993,
	title        = {SAOL: Dröjer innan de och dem blir som dom},
	author       = {Blensenius, Kristian and Holmer, Louise},
	year         = {2023},
	number       = {2023-04-04 },
}

@misc{landqvist-2023-allmansprak-324658,
	title        = {Allmänspråk och fackspråk i en ordbok över allmänspråket},
	abstract     = {Blogginlägg med anledning av det uppmärksammade "snippa-målet" 2023},
	author       = {Landqvist, Hans},
	year         = {2023},
	number       = {2023-03-20},
}

@article{landqvist-2023-ordbockers-325762,
	title        = {Ordböckers möjligheter och begränsningar},
	journal      = {GU Journalen},
	author       = {Landqvist, Hans},
	year         = {2023},
	number       = {2},
	pages        = {47--48},
}

@inProceedings{zhou-etal-2023-finer-325541,
	title        = {The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection},
	abstract     = {In this work we investigate the hypothesis that enriching contextualized models using fine-tuning tasks can improve their
capacity to detect lexical semantic change (LSC). We include tasks  aimed to capture both low-level linguistic information like part-of-speech tagging, as well as higher level (semantic) information.
 
Through a series of analyses we demonstrate that certain combinations of fine-tuning tasks, like sentiment, syntactic information, and logical inference, bring large improvements to standard LSC models that are based only on standard language modeling. We test on the binary classification and ranking tasks of SemEval-2020 Task 1 and evaluate using both permutation tests and under transfer-learning scenarios.},
	booktitle    = {24th Nordic Conference on Computational Linguistics (NoDaLiDa)},
	author       = {Zhou, Wei and Tahmasebi, Nina and Dubossarsky, Haim},
	year         = {2023},
	publisher    = {Linköping University Electronic Press},
	ISBN         = {978-99-1621-999-7},
}