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20202026
most citedEnhancing Critical Thinking in Education by means of a Socratic Chatbot

9 citations · 27 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.HC2024★ 9 cited

Enhancing Critical Thinking in Education by means of a Socratic Chatbot

Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser +1

While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking…

cs.CL2024

Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars

Andrés Lou, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez +1

The Mayan languages comprise a language family with an ancient history, millions of speakers, and immense cultural value, that, nevertheless, remains severely underrepresented in t…

cs.CL2024★ 8 cited

Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz +1

When the amount of parallel sentences available to train a neural machine translation is scarce, a common practice is to generate new synthetic training samples from them. A number…

cs.CL2024★ 5 cited

Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation

Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez

This paper studies the effects of word-level linguistic annotations in under-resourced neural machine translation, for which there is incomplete evidence in the literature. The stu…

cs.CL2024★ 2 cited

Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation

Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz +1

Computer-aided translation (CAT) tools based on translation memories (MT) play a prominent role in the translation workflow of professional translators. However, the reduced availa…