Christine Basta

According to our database, Christine Basta authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Data Contamination in Neural Hieroglyphic Translation: A Reproducibility Study.

Ammar Toutou, Abdelrahman Harb, Christine Basta

CoRR, May, 2026

2025

Preliminary Insights from Designing ChatGPT Prompt Strategies to Engage Egyptian Children in Dialogues with Historical Figures.

Katherine Ashraf, Christine Basta, Shaimaa Lazem

Proceedings of the 5th Biennial African Human Computer Interaction Conference, 2025

Enhancing Software Requirements Engineering with Language Models and Prompting Techniques: Insights from the Current Research and Future Directions.

Moemen Ebrahim, Shawkat Guirguis, Christine Basta

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2022

Gender bias in natural language processing

Christine Basta

PhD thesis, 2022

OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations.

Marta R. Costa-jussà, Christine Basta, Oriol Domingo, André Rubungo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evaluating Gender Bias in Speech Translation.

Marta R. Costa-jussà, Christine Basta, Gerard I. Gállego

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters.

Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Extensive study on the underlying gender bias in contextualized word embeddings.

Christine Basta, Marta R. Costa-jussà, Noe Casas

Neural Comput. Appl., 2021

The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach.

Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa

Proceedings of the Sixth Conference on Machine Translation, 2021

Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience.

Christine Basta, Marta R. Costa-jussà

Proceedings of the First Workshop on Language Technology for Equality, 2021

Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation.

Carlos Escolano, Graciela Ojeda, Christine Basta, Marta R. Costa-jussà

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

2020

Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters.

Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova

CoRR, 2020

2019

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings.

Christine Basta, Marta Ruiz Costa-jussà, Noe Casas

CoRR, 2019

The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT.

Noe Casas, José A. R. Fonollosa, Carlos Escolano, Christine Basta, Marta R. Costa-jussà

Proceedings of the Fourth Conference on Machine Translation, 2019

Impact of Gender Debiased Word Embeddings in Language Modeling.

Christine Basta, Marta R. Costa-jussà

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019