27 citations · 38 across the 4 of their papers we have counts for
5 papers · 1 filter
Data Contamination in Neural Hieroglyphic Translation: A Reproducibility Study
Ammar Toutou, Abdelrahman Harb, Christine Basta
Ancient and endangered languages pose a unique challenge for NLP: their datasets are inherently scarce, difficult to expand, and built from formulaic corpora -- making data-quality…
Impact of Gender Debiased Word Embeddings in Language Modeling
Christine Basta, Marta R. Costa-jussà
Gender, race and social biases have recently been detected as evident examples of unfairness in applications of Natural Language Processing. A key path towards fairness is to under…
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Marta R. Costa-jussà, Carlos Escolano, Christine Basta +3
Multilingual Neural Machine Translation architectures mainly differ in the amount of sharing modules and parameters among languages. In this paper, and from an algorithmic perspect…
Evaluating Gender Bias in Speech Translation
Marta R. Costa-jussà, Christine Basta, Gerard I. Gállego
The scientific community is increasingly aware of the necessity to embrace pluralism and consistently represent major and minor social groups. Currently, there are no standard eval…
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta, Marta R. Costa-jussà, Noe Casas
Gender bias is highly impacting natural language processing applications. Word embeddings have clearly been proven both to keep and amplify gender biases that are present in curren…