References (69)
References
Arnon, I., & Snider, N. (2010). More than words: Frequency effects for multi-word phrases. Journal of Memory and Language, 62(1), 67–82. Google Scholar logo with link to Google Scholar
Baayen, R. H., & Linke, M. (2020). Generalized additive mixed models. In M. Paquot & S. Th. Gries (Eds.), A Practical Handbook of Corpus Linguistics (pp. 563–591). Springer. Google Scholar logo with link to Google Scholar
Baayen, R. H., Tomaschek, F., Gahl, S., & Ramscar, M. (2017). The Ecclesiastes Principle in language change. In M. Hundt, S. Mollin, & S. Pfenninger (Eds.) The changing English language: Psycholinguistic perspectives (pp. 21–48). Cambridge University Press. Google Scholar logo with link to Google Scholar
Barlow, M. (2013). Individual differences and usage-based grammar. International Journal of Corpus Linguistics, 18(4), 443–478. Google Scholar logo with link to Google Scholar
Bentz, C., Alikaniotis, D., Cysouw, M., & Ferrer-i-Cancho, R. (2017). The Entropy of words: Learnability and expressivity across more than 1000 languages. Entropy, 19(6), 275. Google Scholar logo with link to Google Scholar
Bentz, C., & Berdicevskis, A. (2016). Learning pressures reduce morphological complexity: Linking corpus, computational and experimental evidence. In D. Brumato, F. Dell’Orletta, G. Venturi, T. François, & P. Blache (Eds.), Proceedings of the workshop on computational linguistics for linguistic complexity (pp. 222–232). The COLING 2016 Organizing Committee. [URL]
Bentz, C., & Winter, B. (2013). Languages with more second language learners tend to lose nominal case. Language Dynamics and Change, 3(1), 1–27. Google Scholar logo with link to Google Scholar
Bizzoni, Y., Degaetano-Ortlieb, S., Fankhauser, P., & Teich, E. (2020). Linguistic variation and change in 250 years of English scientific writing: A data-driven approach. Frontiers in Artificial Intelligence, 31, 731. Google Scholar logo with link to Google Scholar
Chen, S., Gil, D., Gaponov, S., Reifegerste, J., Yuditha, T., Tatarinova, T., Progovac, L., & Benítez-Burraco, A. (2024). Linguistic correlates of societal variation: A quantitative analysis. PLoS ONE, 19(4), e0300838. Google Scholar logo with link to Google Scholar
Conklin, K., & Schmitt, N. (2008). Formulaic sequences: Are they processed more quickly than nonformulaic language by native and nonnative speakers? Applied Linguistics, 29(1), 72–89. Google Scholar logo with link to Google Scholar
Coupé, C. (2018). Modeling linguistic variables with regression models: Addressing non-Gaussian distributions, non-independent observations, and non-linear predictors with random effects and generalized additive Models for location, scale, and shape. Frontiers in Psychology, 91, 513. Google Scholar logo with link to Google Scholar
Dąbrowska, E. (2014). Recycling utterances: A speaker’s guide to sentence processing. Cognitive Linguistics, 25(4), 617–653. Google Scholar logo with link to Google Scholar
Daelemans, W., & Van den Bosch, A. (2005). Memory-based language processing. Cambridge University Press. Google Scholar logo with link to Google Scholar
Degaetano-Ortlieb, S., & Teich, E. (2022). Toward an optimal code for communication: The case of scientific English. Corpus Linguistics and Linguistic Theory, 18(1), 175–207. Google Scholar logo with link to Google Scholar
De Troij, R. (2023). Natiolectal variation in Dutch grammar: A data-driven approach. [PhD Dissertation]. KU Leuven & Radboud University Nijmegen. [URL]
Dowle, M., & Srinivasan, A. (2024). data.table: Extension of ‘data.frame’ (Version 1.16.4). R package. [URL]
Dunn, J. (2018). Multi-unit association measures: Moving beyond pairs of words. International Journal of Corpus Linguistics, 23(2), 183–215. Google Scholar logo with link to Google Scholar
Ellis, N. C. (2006). Language acquisition as rational contingency learning. Applied Linguistics, 27(1), 1–24. Google Scholar logo with link to Google Scholar
Evert, S. (2009). Corpora and collocations. In A. Lüdeling & M. Kytö (Eds.), Corpus linguistics: An international handbook Vol. 2 (pp. 1212–1248). De Gruyter Mouton. Google Scholar logo with link to Google Scholar
Fankhauser, P., Knappen, J., & Teich, E. (2014). Exploring and visualizing variation in language resources. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.) Proceedings of the ninth international conference on Language Resources and Evaluation (LREC’14) (pp. 4125–4128). European Language Resources Association. [URL].
Fox, J., & Weisberg, S. (2019). An R companion to applied regression (3rd ed.). Thousand Oaks, CA: SAGE Publications, Inc.Google Scholar logo with link to Google Scholar
Goldberg, A. E. (1995). Constructions: A construction grammar approach to argument structure. University of Chicago Press.Google Scholar logo with link to Google Scholar
(2006). Constructions at work: The nature of generalization in language. Oxford University Press. Google Scholar logo with link to Google Scholar
Gries, S. Th. (2015). 15-something years of work on collocations: What is or should be next… International Journal of Corpus Linguistics, 18(1), 137–165. Google Scholar logo with link to Google Scholar
Grondelaers, S., Speelman, D., & Geeraerts, D. (2008). National variation in the use of er ‘there’: Regional and diachronic constraints on cognitive explanations. In G. Kristiansen & R. Dirven (Eds.), Cognitive sociolinguistics: Language variation, cultural models, social systems (pp. 153–203). De Gruyter Mouton. Google Scholar logo with link to Google Scholar
Ham, L., Lentz, L., Pander Maat, H., & Stolk, F. (2018). Zijn romans en kranten sinds 1950 eenvoudiger geworden? Tijdschrift voor Nederlandse Taal- en Letterkunde, 134(4), 300–323. [URL]
Helasvuo, M.-L. (2014). Agreement or crystallization: Patterns of 1st and 2nd person subjects and verbs of cognition in Finnish conversational interaction. Journal of Pragmatics, 631, 63–78. Google Scholar logo with link to Google Scholar
Hoffmann, T., & Trousdale, G. (Eds.) (2013). The Oxford handbook of construction grammar. Oxford University Press. Google Scholar logo with link to Google Scholar
Honnibal, M., Montani, I., Van Landeghem, S., & Boyd, A. (2020). spaCy: Industrial-strength natural language processing in Python. Google Scholar logo with link to Google Scholar
Jurafsky, D., & Martin, J. H. (2025). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition with language models (3rd edn). [URL]
Koplenig, A., & Wolfer, S. (2023). Languages with more speakers tend to be harder to (machine-)learn. Scientific Reports, 13(1), 18521. Google Scholar logo with link to Google Scholar
Kusters, W. (2003). Linguistic complexity: The influence of social change on verbal inflection. LOT. [URL]
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. Google Scholar logo with link to Google Scholar
Lev-Ari, S. (2024). The influence of community structure on how communities categorize the world. Journal of Experimental Psychology: Learning, Memory, and Cognition, 50(8), 1249–1264. Google Scholar logo with link to Google Scholar
Lupyan, G., & Dale, R. (2010). Language structure is partly determined by social structure. PLoS ONE, 5(1), e8559. Google Scholar logo with link to Google Scholar
Meillet, A. (1922). Caractères généraux des langues germaniques. Librairie Hachette.Google Scholar logo with link to Google Scholar
Mohseni, M., Redies, C., & Gast, V. (2023). Comparative analysis of preference in contemporary and earlier texts using entropy measures. Entropy, 25(3), 486. Google Scholar logo with link to Google Scholar
Müller, K. (2020). here: A simpler way to find your files (Version 1.0.1). R package. [URL]
Nijs, J., Van de Velde, F., & Cuyckens, H. (2025). Is word order responsive to morphology? Using Kolmogorov complexity and Granger causality to disentangle cause and effect in morphosyntactic change in five Western European languages. Entropy, 27(1), 53. Google Scholar logo with link to Google Scholar
Pedersen, T. L. (2024). Patchwork: The composer of plots (Version 1.3.0). R package. [URL]
Petré, P., & Van de Velde, F. (2018). The real-time dynamics of the individual and the community in grammaticalization. Language, 94(4), 867–901. Google Scholar logo with link to Google Scholar
Piersoul, J., De Troij, R., & Van de Velde, F. (2021). 150 years of written Dutch: The construction of the Dutch Corpus of Contemporary and Late Modern Periodicals. Nederlandse Taalkunde, 26(3), 339–362. Google Scholar logo with link to Google Scholar
Pijpops, D. (2021). Does standardization affect the type of motivating factors that determine language variation? The case of the Dutch transitive-reflexive alternation. In G. Kristiansen, K. Franco, S. De Pascale, L. Rosseel, & W. Zhang (Eds.), Cognitive sociolinguistics revisited (pp. 384–397). De Gruyter Mouton. Google Scholar logo with link to Google Scholar
Piotrowski, M. (2012). Natural language processing for historical texts. Springer. Google Scholar logo with link to Google Scholar
R Core Team. (2024). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. [URL]
Raviv, L., Meyer, A., & Lev-Ari, S. (2019). Larger communities create more systematic languages. Proceedings of the Royal Society B — Biological Sciences, 286(1907), 20191262. Google Scholar logo with link to Google Scholar
Ryckaert, R. (2017). Ruggespraak in het gekkenhuis: Een beknopte geschiedenis van de spelling van het Nederlands. In G. De Sutter (ed.), De vele gezichten van het Nederlands in Vlaanderen: Een inleiding tot de variatietaalkunde (pp. 80–98). Acco.Google Scholar logo with link to Google Scholar
Sapir, E. (1921). Language: An introduction to the study of speech. Harcourt.Google Scholar logo with link to Google Scholar
Shcherbakova, O., Michaelis, S. M., Haynie, H. J., Passmore, S., Gast, V., Gray, R. D., Greenhill, S. J., Blasi, D. E., & Skirgård, H. (2023). Societies of strangers do not speak less complex languages. Science Advances, 9(33), eadf7704. Google Scholar logo with link to Google Scholar
Speelman, D., Grondelaers, S., Szmrecsanyi, B., & Heylen, K. (2020). Schaalvergroting in het syntactische alternantieonderzoek: Een nieuwe analyse van het presentatieve er met automatisch gegenereerde predictoren. Nederlandse Taalkunde, 25(1), 101–123. Google Scholar logo with link to Google Scholar
Tremblay, A., Derwing, B., Libben, G., & Westbury, C. (2011). Processing advantages of lexical bundles: Evidence from self-paced reading and sentence recall tasks. Language Learning, 61(2), 569–613. Google Scholar logo with link to Google Scholar
Trudgill, P. (2011). Sociolinguistic typology: Social determinants of linguistic complexity. Oxford University Press.Google Scholar logo with link to Google Scholar
Van Bree, C. (1987). Historische grammatica van het Nederlands. Foris.Google Scholar logo with link to Google Scholar
Van Cranenburgh, A., & Van Noord, G. (2022). OpenBoek: A corpus of literary coreference and entities with an exploration of historical spelling normalization. Computational Linguistics in the Netherlands Journal, 121, 235–251. [URL]
Van der Horst, J. (1997). Over en naar aanleiding van Zuid-Nederlandse doorbrekingen. In A. Van Santen & M. J. Van der Wal (Eds.), Taal in tijd en ruimte: Voor Cor van Bree bij zijn afscheid als hoogleraar Historische Taalkunde en Taalvariatie aan de Vakgroep Nederlands van de Rijksuniversiteit Leiden (pp. 299–307). Stichting Neerlandistiek.Google Scholar logo with link to Google Scholar
(2008). Het einde van de standaardtaal: Een wisseling van Europese taalcultuur. Meulenhoff.Google Scholar logo with link to Google Scholar
(2013). Taal op drift: Lange-termijnontwikkelingen in taal en samenleving. Meulenhoff.Google Scholar logo with link to Google Scholar
Van de Velde, F. (2009a). The emergence of modification patterns in the Dutch noun phrase. Linguistics, 47(4), 1021–1049. Google Scholar logo with link to Google Scholar
(2009b). De nominale constituent: Structuur en geschiedenis. Leuven University Press.Google Scholar logo with link to Google Scholar
(2010). The emergence of the determiner in the Dutch NP. Linguistics, 48(2), 263–299. Google Scholar logo with link to Google Scholar
Van de Velde, F., Piersoul, J., De Smet, I., & Ruppert, E. (2021). Changing preferences in cultural references. In G. Kristiansen, K. Franco, S. De Pascale, L. Rosseel, & W. Zhang (Eds.), Cognitive sociolinguistics revisited (pp. 584–595). De Gruyter Mouton. Google Scholar logo with link to Google Scholar
Van Eynde, F. (2004). Part of speech tagging and lemmatizing of the Corpus Gesproken Nederlands (Spoken Dutch Corpus). Centrum voor Computerlinguïstiek K. U. Leuven. [URL]
Van Rij, J., Wieling, M., Baayen, R. H., & Van Rijn, D. (2022). itsadug: Interpreting time series and autocorrelated data using GAMMs (Version 2.4.1). R package. [URL]
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2023). dplyr: A grammar of data manipulation (Version 1.1.4). R package. [URL]
Wickham, H., Vaughan, D., & Girlich, M. (2024). tidyr: tidy messy data (Version 1.3.1). R package. [URL]
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis (2nd ed.). Springer. Google Scholar logo with link to Google Scholar
Wood, S. N. (2003). Thin-plate regression splines. Journal of the Royal Statistical Society (B), 65(1). 95–114. Google Scholar logo with link to Google Scholar
(2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society (B), 73(1), 3–36. Google Scholar logo with link to Google Scholar
(2017). Generalized additive models: An introduction with R (2nd ed.). Chapman and Hall/CRC. Google Scholar logo with link to Google Scholar
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