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Abstract

An interdisciplinary study that combines linguistic typology, corpus linguistics, and computational linguistics to quantitatively review Greenberg’s Universal 1 is presented. By proposing new metrics and formalizations, we aim to provide a more accurate representation of language usage to solve the problem of basic word order in natural languages. A typological characterization of 143 languages is proposed. We perform a typometrical study using Universal Dependencies in order to quantitative evaluate new metrics. Our results show universal trends and can serve to categorize languages and to test universals with languages that have never been quantitatively checked.

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Notes

  1. 1.

    S = Subject; V = Verb O = Object, NDO = Non-Dominant Order.

References

  1. Choi, H.S., Guillaume, B., Fort, K.: Corpus-based language universals analysis using universal dependencies. In: Proceedings of the Second Workshop on Quantitative Syntax (Quasy, SyntaxFest 2021), pp. 1–15 (2021). https://aclanthology.org/2021.quasy-1.3

  2. Choi, H.S., Guillaume, B., Fort, K., Perrier, G.: Investigating dominant word order on universal dependencies with graph rewriting. In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pp. 281–290. Incoma Ltd (2021). https://doi.org/10.26615/978-954-452-072-4_033

  3. Croft, W., Nordquist, D., Looney, K., Regan, M.: Linguistic typology meets universal dependencies. In: International Workshop on Treebanks and Linguistic Theories, pp. 63–75 (2017)

    Google Scholar 

  4. Dryer, M.S.: The Greenbergian word order correlations. Language 68, 81–138 (1992)

    Article  Google Scholar 

  5. Dryer, M.S., Haspelmath, M.: The world atlas of language structures online (2013). http://wals.info

  6. Gerdes, K., Guillaume, B., Kahane, S., Perrier, G.: Starting a new treebank? GO SUD! theoretical and practical benefits of the surface-syntactic distributional approach. In: SyntaxFest Depling 2021 - 6th International Conference on Dependency Linguistics, pp. 35–46 (2022). https://hal.inria.fr/hal-03509136

  7. Gerdes, K., Kahane, S., Chen, X.: Rediscovering Greenberg’s word order universals in UD. In: Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019), pp. 124–131 (2019). https://doi.org/10.18653/v1/W19-8015

  8. Gerdes, K., Kahane, S., Chen, X.: Typometrics: from implicational to quantitative universals in word order typology. Glossa 6 (2021). https://doi.org/10.5334/gjgl.764

  9. Greenberg, J.H.: Universals of Language. The MIT Press, Cambridge (1963)

    Google Scholar 

  10. Gries, S.T.: Statistics for Linguistics with R: A Practical Introduction. Mouton De Gruyter (2013)

    Google Scholar 

  11. Guillaume, B.: Graph matching and graph rewriting: grew tools for corpus exploration, maintenance and conversion. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pp. 1–9 (2021). https://hal.inria.fr/hal-03177701

  12. Lehmann, W.P.: Syntactic typology: studies in the phenomenology of language. University of Texas Press (1978)

    Google Scholar 

  13. Levshina, N.: Token-based typology and word order entropy: a study based on universal dependencies. Linguist. Typology 23, 533–572 (2019)

    Article  Google Scholar 

  14. Levshina, N.: Corpus-based typology: applications, challenges and some solutions. Linguist. Typology 26, 129–160 (2021). https://doi.org/10.1515/lingty-2020-0118

    Article  Google Scholar 

  15. Liu, H.: Dependency direction as a means of word-order typology: a method based on dependency treebanks. Lingua 120, 1567–1578 (2010)

    Article  Google Scholar 

  16. Guzmán Naranjo, M., Becker, L.: Statistical bias control in typology. Linguist. Typology 26 (2021). https://doi.org/10.1515/lingty-2021-0002

  17. Nivre, J., et al.: Universal dependencies (2023). https://universaldependencies.org/

  18. Vennemann, T.: Categorial grammar and the order of meaningful elements, pp. 615–634. Anma Libri (1976)

    Google Scholar 

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Correspondence to Antoni Brosa-Rodríguez .

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Brosa-Rodríguez, A., Jiménez-López, M.D. (2023). A Typometrical Study of Greenberg’s Linguistic Universal 1. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_19

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