@inproceedings{uban-etal-2025-friend,
title = "Friend or Foe? A Computational Investigation of Semantic False {F}riends across {R}omance Languages",
author = "Uban, Ana Sabina and
Dinu, Liviu P and
Iordache, Ioan-Bogdan and
Georgescu, Simona and
Vlad, Claudia",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.773/",
pages = "15309--15323",
ISBN = "979-8-89176-332-6",
abstract = "In this paper we present a comprehensive analysis of lexical semantic divergence between cognate words and borrowings in the Romance languages. We experiment with different algorithms for false friend detection including deceptive cognate and deceptive borrowings and correction and evaluate them systematically on cognate and borrowing pairs in the five Romance languages. We use the most complete and reliable dataset of cognate words based on etymological dictionaries for the five main Romance languages (Italian, Spanish, Portuguese, French and Romanian) to extract deceptive cognates and borrowings automatically based on usage, and freely publish the lexicon of obtained true and deceptive cognate and borrowings in every Romance language pair."
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<abstract>In this paper we present a comprehensive analysis of lexical semantic divergence between cognate words and borrowings in the Romance languages. We experiment with different algorithms for false friend detection including deceptive cognate and deceptive borrowings and correction and evaluate them systematically on cognate and borrowing pairs in the five Romance languages. We use the most complete and reliable dataset of cognate words based on etymological dictionaries for the five main Romance languages (Italian, Spanish, Portuguese, French and Romanian) to extract deceptive cognates and borrowings automatically based on usage, and freely publish the lexicon of obtained true and deceptive cognate and borrowings in every Romance language pair.</abstract>
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%0 Conference Proceedings
%T Friend or Foe? A Computational Investigation of Semantic False Friends across Romance Languages
%A Uban, Ana Sabina
%A Dinu, Liviu P.
%A Iordache, Ioan-Bogdan
%A Georgescu, Simona
%A Vlad, Claudia
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F uban-etal-2025-friend
%X In this paper we present a comprehensive analysis of lexical semantic divergence between cognate words and borrowings in the Romance languages. We experiment with different algorithms for false friend detection including deceptive cognate and deceptive borrowings and correction and evaluate them systematically on cognate and borrowing pairs in the five Romance languages. We use the most complete and reliable dataset of cognate words based on etymological dictionaries for the five main Romance languages (Italian, Spanish, Portuguese, French and Romanian) to extract deceptive cognates and borrowings automatically based on usage, and freely publish the lexicon of obtained true and deceptive cognate and borrowings in every Romance language pair.
%U https://aclanthology.org/2025.emnlp-main.773/
%P 15309-15323
Markdown (Informal)
[Friend or Foe? A Computational Investigation of Semantic False Friends across Romance Languages](https://aclanthology.org/2025.emnlp-main.773/) (Uban et al., EMNLP 2025)
ACL