The Current State and Prominent Features of Quantitative Linguistics Through the Lens of QUALICO 2023: A Conference Report

References

• Bentz, C., Alikaniotis, D., Samardžić, T., & Buttery, P. (2017). Variation in word frequency distributions: Definitions, measures and implications for a corpus-based language typology. Journal of Quantitative Linguistics, 24(2–3), 128–162. https://doi.org/10.1080/09296174.2016.1265792
   Web of Science ®Google Scholar
• Chen, R., & Liu, H. (2014). Quantitative aspects of Journal of Quantitative Linguistics. Journal of Quantitative Linguistics, 21(4), 299–340. https://doi.org/10.1080/09296174.2014.944327
   Web of Science ®Google Scholar
• Feinerer, I., & Hornik, K. (2023). tm: Text Mining Package. R package version 0.7-11. https://CRAN.R-project.org/package=tm
   Google Scholar
• Fellows, I. (2018). wordcloud: Word Clouds. R package version 2.6. https://CRAN.R-project.org/package=wordcloud
   Google Scholar
• Ferrer-I-Cancho, R., Gómez-Rodríguez, C., Esteban, J. L., & Alemany-Puig, L. (2022). Optimality of syntactic dependency distances. Physical Review E, 105(1), 014308. https://doi.org/10.1103/PhysRevE.105.014308
   PubMed Web of Science ®Google Scholar
• Futrell, R., Mahowald, K., & Gibson, E. (2015). Large-scale evidence of dependency length minimization in 37 languages. Proceedings of the National Academy of Sciences, 112(33), 10336–10341. https://doi.org/10.1073/pnas.1502134112
   PubMed Web of Science ®Google Scholar
• Gerdes, K., Kahane, S., & Chen, X. (2021). Typometrics: From implicational to quantitative universals in word order typology. Glossa: A Journal of General Linguistics, 6(1), 17. https://doi.org/10.5334/gjgl.764
   Web of Science ®Google Scholar
• Gildea, D., Kan, M., Madnani, N., Teichmann, C., & Villalba, M. (2018). The ACL Anthology: Current state and future directions. In E. Park, M. Hagiwara, D. Milajevs, & L. Tan (Eds.), Proceedings of Workshop for NLP Open Source Software (NLP-OSS), Melbourne (pp. 23–28). Association for Computational Linguistics.
   Google Scholar
• Kelih, E. (2010). The type-token relationship in Slavic parallel texts. Glottometrics, 20, 1–11.
   Google Scholar
• Köhler, R., & Altmann, G. (2008). Aims and scope of quantitative linguistics. In P. Mohanty & R. Köhler (Eds.), New Readings in Quantitative Linguistics. (pp. 1–32). Indian Institute of Language Studies.
   Google Scholar
• Köhler, R., Altmann, G., & Piotrowski, R. G. (2005). Quantitative Linguistics – an international handbook. De Gruyter Mouton.
   Google Scholar
• Liu, H. (2017). An introduction to quantitative linguistics. (in Chinese). The Commercial Press.
   Google Scholar
• Liu, H., Xu, C., & Liang, J. (2017). Dependency distance: A new perspective on syntactic patterns in natural languages. Physics of Life Reviews, 21, 171–193. https://doi.org/10.1016/j.plrev.2017.03.002
   PubMed Web of Science ®Google Scholar
• Misuraca, M., Scepi, G., & Spano, M. (Eds.). (2022). Proceedings of the 16th International Conference on Statistical Analysis of Textual Data (JADT22). Naples. VADISTAT Press.
   Google Scholar
• Popescu, I.-I., & Altmann, G. (2007). On diversity of word frequencies and language typology. Göttinger Beiträge zur Sprachwissenschaft, 14, 83–91.
   Google Scholar
• R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Rinker, T. W. (2018). Textstem: Tools for stemming and lemmatizing. R package version 0.1.4. http://github.com/trinker/textstem
   Google Scholar
• Silge, J., & Robinson, D. (2016). Tidytext: Text mining and analysis using tidy data principles in R. The Journal of Open Source Software, 1(3), 37. https://doi.org/10.21105/joss.00037
   Google Scholar
• Tsujii, J. (2021). Natural language processing and computational linguistics. Computational Linguistics, 47(4), 707–727.
   Web of Science ®Google Scholar
• University of Lausanne. (2023, June 28-30). QUALICO 2023 Book of Abstracts. Lausanne: Department of Language and Information Sciences at the University of Lausanne. https://wp.unil.ch/qualico2023/files/2023/06/Qualico2023_BookofAbstracts.pdf
   Google Scholar
• Yan, J., & Liu, H. (2021). Morphology and word order in Slavic languages: Insights from annotated corpora. Вопросы языкознания, 70(4), 131–159. https://doi.org/10.31857/0373-658X.2021.4.131-159
   Google Scholar
• Zipf, G. K. (1949). Human behavior and the principle of least effort: An introduction to human ecology. Hafner.
   Google Scholar