<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p><b style="font-weight:normal;"
id="docs-internal-guid-a4e49714-7fff-c9b3-6d13-884537d38a6c">
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Computational approaches to language dynamics: </span></p>
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Cognitive and constructional perspectives</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">- Theme session at the <a
href="https://www.uni-bielefeld.de/fakultaeten/linguistik-literaturwissenschaft/forschung/arbeitsgruppen/germanistische-grammatikf/dgkl2026/index.xml">11th International Conference of the German Cognitive Linguistics Association (DGKL)</a>,
August 31st to September 2nd, 2026, Bielefeld -</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><b><span
style="font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Convenors:
</span></b></p>
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Bastian Bunzeck, University of Bielefeld, <a class="moz-txt-link-abbreviated" href="mailto:bastian.bunzeck@uni-bielefeld.de">bastian.bunzeck@uni-bielefeld.de</a></span></p>
<p dir="ltr"
style="line-height:1.38;text-align: center;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Stefan Hartmann, HHU Düsseldorf, <a class="moz-txt-link-abbreviated" href="mailto:hartmast@hhu.de">hartmast@hhu.de</a></span></p>
<br>
<p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Cognitive linguistics conceives of language as a complex adaptive system (Beckner et al. 2009). Modelling the intricacies of this system entails numerous challenges for any approach that aims at going beyond the mere description of linguistic facts and instead tries to offer an explanatory account of linguistic phenomena. Multifactorial statistical methods for the analysis of corpus or experimental data have proven highly insightful in recent years, but even they cannot answer all research questions that emerge at the interface of cognition, culture, and language use. For instance, when it comes to social effects that shape the contemporary make-up of the grammar of a language, or when it comes to pathways of language learning as influenced by the input that an individual receives from many different sources, there are many variables that we cannot control for. Computational approaches have therefore become more and more important in recent years in various domains. To mention only two examples, computational modelling, which has been among the most important approaches for testing hypotheses about the evolutionary development of language(s) for decades (Smith et al. 2003, Kirby 2013, Ruland et al. 2023), is increasingly being used to account for phenomena of language variation and change (Sevenants et al. 2021, Pijpops 2022). Secondly, machine-learning approaches in the form of deep neural language models (LMs) have started to play an increasingly important role in modelling language processing and language dynamics. (L)LMs are not only being used as “copilots” in traditional linguistic research (Torrent et al. 2023), but also open up novel ways of modelling first language acquisition (e.g. Bunzeck et al. 2025, Padovani et al. 2025) or for analyzing structural properties of language that may inform theories of cognitively plausible linguistic representations (cf. Warstadt & Bowman 2022, Futrell & Mahowald 2025). Here, some researchers even argue that LMs provide a proof-of-concept for usage-based theories of language (Ambridge & Blything 2024, Goldberg 2024), a claim that remains contested (cf. Piantadosi et al. 2023 and its numerous replies), also due to the rule-based nature of common linguistic benchmarks (Weissweiler et al. 2025).</span></p>
<p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">This theme session aims at bringing together researchers using computational methods to address research questions from cognitive linguistics and Construction Grammar including, but not limited to, the following:</span></p>
<ul
style="margin-top:0;margin-bottom:0;padding-inline-start:48px;">
<li dir="ltr"
style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"
aria-level="1"><p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"
role="presentation"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">How do social, cultural, and interactional factors shape grammar(s) and language(s), both in an ontogenetic and a historical perspective?</span></p></li>
<li dir="ltr"
style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"
aria-level="1"><p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"
role="presentation"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">How can computational approaches help us model the make-up of constructional networks both on an individual level and at the level of populations of language users?</span></p></li>
<li dir="ltr"
style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"
aria-level="1"><p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"
role="presentation"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">To what extent can computational models including (Large) Language Models give insights into emergent properties of language(s)?</span></p></li>
<li dir="ltr"
style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"
aria-level="1"><p dir="ltr"
style="line-height:1.38;text-align: justify;margin-top:0pt;margin-bottom:0pt;"
role="presentation"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">How can we probe black-box models like (L)LMs, and how do prompts, benchmarks and other tests relate to theories of language structure and use?</span></p></li>
</ul>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">The theme session aims at building bridges between different computational approaches that are used to investigate language dynamics at various timescales. </span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">If you are interested in taking part in the theme session, please send an abstract (up to 500 words excl. references) to the theme session organizers (<a class="moz-txt-link-abbreviated" href="mailto:bastian.bunzeck@uni-bielefeld.de">bastian.bunzeck@uni-bielefeld.de</a>, <a class="moz-txt-link-abbreviated" href="mailto:hartmast@hhu.de">hartmast@hhu.de</a>) until </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">March 15, 2026</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">. Decisions will be sent out in early April.</span></p>
<br>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">References</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Ambridge, Ben & Liam Blything. 2024. Large language models are better than theoretical linguists at theoretical linguistics. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Theoretical Linguistics </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">50(1–2). 33–48. <a class="moz-txt-link-freetext" href="https://doi.org/10.1515/tl-2024-2002">https://doi.org/10.1515/tl-2024-2002</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Beckner, Clay, Richard Blythe, Joan Bybee, Morten H. Christiansen, William Croft, Nick C. Ellis, John Holland, Jinyun Ke, Diane Larsen-Freeman & Tom Schoenemann. 2009. Language is a Complex Adaptive System: Position Paper. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Language Learning</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> 59 Suppl. 1. 1–26. <a class="moz-txt-link-freetext" href="https://doi.org/10.1111/j.1467-9922.2009.00533.x">https://doi.org/10.1111/j.1467-9922.2009.00533.x</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Bunzeck, Bastian, Daniel Duran & Sina Zarrieß. 2025. Do construction distributions shape formal language learning in German BabyLMs? In </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proceedings of the 29th conference on computational natural language learning</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">, 169–186. Vienna, Austria: Association for Computational Linguistics.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Futrell, Richard & Kyle Mahowald. 2025. How Linguistics Learned to Stop Worrying and Love the Language Models. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Behavioral and Brain Sciences</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> 1–98. <a class="moz-txt-link-freetext" href="https://doi.org/10.1017/S0140525X2510112X">https://doi.org/10.1017/S0140525X2510112X</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Goldberg, Adele E. 2024. Usage-based constructionist approaches and large language models. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Constructions and Frames</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> 16(2). 220–254. <a class="moz-txt-link-freetext" href="https://doi.org/10.1075/cf.23017.gol">https://doi.org/10.1075/cf.23017.gol</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Kirby, Simon. 2013. Language, culture, and computation: An adaptive systems approach to biolinguistics. In Cedric Boeckx & Kleanthes K. Grohmann (eds.), The Cambridge handbook of biolinguistics, 460–477. Cambridge: Cambridge University Press.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Padovani, Francesca, Jaap Jumelet, Yevgen Matusevych & Arianna Bisazza. 2025. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">, 19746–19767. Suzhou, China: Association for Computational Linguistics. doi:10.18653/v1/2025.emnlp-main.999.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Piantadosi, Steven T. 2024. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Modern language models refute Chomsky’s approach to language.</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> Language Science Press. <a class="moz-txt-link-freetext" href="https://doi.org/10.5281/ZENODO.12665933">https://doi.org/10.5281/ZENODO.12665933</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Pijpops, Dirk. 2022. Lectal contamination: Evidence from corpora and from agent-based simulation. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">International Journal of Corpus Linguistics</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> 27(3). 259–290. <a class="moz-txt-link-freetext" href="https://doi.org/10.1075/ijcl.20040.pij">https://doi.org/10.1075/ijcl.20040.pij</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Ruland, Marcel, Alejandro Andirkó, Iza Romanowska & Cedric Boeckx. 2023. Modelling of factors underlying the evolution of human language. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Adaptive Behavior.</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> SAGE Publications. <a class="moz-txt-link-freetext" href="https://doi.org/10.1177/10597123221147336">https://doi.org/10.1177/10597123221147336</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Sevenants, Anthe & Dirk Speelman. 2021. Keeping up with the Neighbours - An Agent-Based Simulation of the Divergence of the Standard Dutch Pronunciations in the Netherlands and Belgium. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Computational Linguistics in the Netherlands Journal</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> 11. 5–26.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Smith, Kenny, Simon Kirby & Henry Brighton. 2003. Iterated Learning: A Framework for the Emergence of Language. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Artificial Life </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">9. 371–386.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Torrent, Tiago Timponi, Thomas Hoffmann, Arthur Lorenzi Almeida & Mark Turner. 2023. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Copilots for Linguists: AI, Constructions, and Frames. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Cambridge University Press. <a class="moz-txt-link-freetext" href="https://doi.org/10.1017/9781009439190">https://doi.org/10.1017/9781009439190</a>.</span></p>
<p dir="ltr"
style="line-height:1.38;text-indent: -20.25pt;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 0pt 20.25pt;"><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Warstadt, Alex & Samuel R. Bowman. 2022. What Artificial Neural Networks Can Tell Us about Human Language Acquisition. </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Algebraic Structures in Natural Language</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">, 17–60. 1. edn. Boca Raton: CRC Press. doi:10.1201/9781003205388-2.</span></p>
<span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Weissweiler, Leonie, Kyle Mahowald & Adele E. Goldberg. 2025. Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs. In Claire Bonial, Melissa Torgbi, Leonie Weissweiler, Austin Blodgett, Katrien Beuls, Paul Van Eecke & Harish Tayyar Madabushi (Hrsg.), </span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proceedings of the Second International Workshop on Construction Grammars and NLP</span><span
style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">, 61–74. Düsseldorf, Germany: Association for Computational Linguistics.</span></b></p>
<pre class="moz-signature" cols="72">--
Prof. Dr. Stefan Hartmann (he/him)
Heinrich-Heine-Universität Düsseldorf
Philosophische Fakultät
Institut für Germanistik, Abt. Germanistische Sprachwissenschaft
Universitätsstraße 1
40225 Düsseldorf
Gebäude: 24.53
Etage/Raum: U1.94
Tel.: +49 211 81-13684
Website: <a class="moz-txt-link-freetext" href="https://stefanhartmann.eu/">https://stefanhartmann.eu/</a>
Personal webex room: <a class="moz-txt-link-freetext" href="https://hhu.webex.com/meet/shartmann">https://hhu.webex.com/meet/shartmann</a>
Sekretariat / Secretary's office:
Claudia Franken-Stemmler
Geb. 24.52, Raum U1.23
Tel. +49 211 81-11393
<a class="moz-txt-link-abbreviated" href="mailto:claudia.franken-stemmler@hhu.de">claudia.franken-stemmler@hhu.de</a></pre>
</body>
</html>