Recursos digitales para el análisis del léxico de origen latino en las lenguas románicas

Author:

GEORGESCU SIMONA, ,CRISTEA ALINA MARIA,DINU ANCA,DINU LIVIU,IORDACHE BOGDAN,UBAN ANA SABINA,ZOICAȘ LAURENȚIU, , , , , , ,

Abstract

Within the framework of the CoToHiLi project (Computational Tools for Historical Linguistics), set up with the aim of providing computational tools for the research of linguistic change, we created a database containing the cognate chains from the main Romance languages. Starting from this database, we conducted experiments that test the machine’s ability to automatically detect cognate sets in any pair of Romance languages. We also explored the possibility of distinguishing semi-automatically between inherited and borrowed words in the Romance languages. The article describes the challenges of each experiment, the application of digital methods, as well as the importance of integrating linguistic data. We also propose an interpretation of the results.

Publisher

Editura Academiei Romane

Subject

Linguistics and Language,Language and Linguistics

Reference18 articles.

1. "Campbell, Lyle, 2013, Historical Linguistics. An Introduction (1ª ed. 1998), 3ª edición, Edinburgh University Press.

2. Chambon, Jean-Pierre, 2007, "Remarques sur la grammaire comparée-reconstruction en linguistique romane (situation, perspectives)", Mémoires de la Société de linguistique de Paris, n. s., 15 (Tradition et rupture dans les grammaires comparées de différentes familles de langues), Lovaina, Peeters, 57-72.

3. Ciobanu, Alina Maria / Dinu, Liviu P., 2014, "Building a Dataset of Multilingual Cognates for the Romanian Lexicon", in Proceedings of the language resources and evaluation conference 2014, p. 1038-1043.

4. Cristea, Alina Maria et al., 2021, "Automatic discrimination between inherited and borrowed Latin words in Romance languages", in: Proceedings of the 2021 conference on empirical methods in natural language processing (EMNPL) (Findings).

5. Cristea, Alina Maria et al., 2023 [en curso de publicación], "RoBoCoP: A comprehensive Romance Borrowing Cognate Package and Benchmark for Multilingual Cognate Identification".

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