Papers by Clémentine Fourrier
Methodological Aspects of Developing and Managing an Etymological Lexical Resource: Introducing EtymDB-2.0 (2020.lrec-1)
Copied to clipboard
| Challenge: | Diachronic lexical information is increasingly used in historical linguistics and in NLP . etymological resources need to be fine-grained, large-coverage and accurate . |
| Approach: | They propose guidelines to generate etymological lexical resources for each step of the life-cycle of an ethymology . they introduce EtymDB 2.0, an 'etiological database' generated from the Wiktionary . |
| Outcome: | The proposed resources are generated for each step of the life-cycle of an etymological lexicon: creation, update, evaluation, dissemination, and exploitation. |
Probing Multilingual Cognate Prediction Models (2022.findings-acl)
Copied to clipboard
| Challenge: | linguistic interpretations of cognate prediction have been based on external analysis (accuracy, raw results, errors). |
| Approach: | They propose to use character-based machine translation models to store linguistic and diachronic information but not in previously assumed ways. |
| Outcome: | The proposed model stores linguistic and diachronic information but does not achieve it in previously assumed ways. |
La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin America (2025.acl-long)
Copied to clipboard
María Grandury, Javier Aula-Blasco, Júlia Falcão, Clémentine Fourrier, Miguel González Saiz, Gonzalo Martínez, Gonzalo Santamaria Gomez, Rodrigo Agerri, Nuria Aldama García, Luis Chiruzzo, Javier Conde, Helena Gomez Adorno, Marta Guerrero Nieto, Guido Ivetta, Natàlia López Fuertes, Flor Miriam Plaza-del-Arco, María-Teresa Martín-Valdivia, Helena Montoro Zamorano, Carmen Muñoz Sanz, Pedro Reviriego, Leire Rosado Plaza, Alejandro Vaca Serrano, Estrella Vallecillo-Rodríguez, Jorge Vallego, Irune Zubiaga
| Challenge: | La Leaderboard is the first open-source leaderboard to evaluate generative Large Language Models (LLMs) in languages and language varieties of Spain and Latin America. |
| Approach: | They propose to use La Leaderboard to evaluate generative Large Language Models in Spanish and Latin America. |
| Outcome: | La Leaderboard is the first open-source leaderboard to evaluate generative LLMs in languages and language varieties of Spain and Latin America. |
Can Cognate Prediction Be Modelled as a Low-Resource Machine Translation Task? (2021.findings-acl)
Copied to clipboard
| Challenge: | Existing work on cognate prediction based on similarities of two languages has not studied their differences or optimized architectural choices. |
| Approach: | They compare statistical and neural MT architectures to a bilingual setup to test their hypothesis . they use monolingual pretraining, backtranslation and multilinguality to test the hypothesis based on the results . |
| Outcome: | The proposed architectures can be used to generate cognates in a given language . the proposed architecture can be employed with monolingual pretraining, backtranslation and multilinguality . |
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (2025.acl-long)
Copied to clipboard
Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, Andre Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
| Challenge: | Reliable multilingual evaluation is difficult and culturally appropriate evaluation is even harder to achieve. |
| Approach: | They propose a multilingual evaluation framework that aims to mitigate these biases by improving translations and annotation practices. |
| Outcome: | The proposed framework improves translation quality and cultural coverage and is culturally sensitive and culturally agnostic. |