Data Augmentation

Robust Neural Machine Translation of User-Generated Content
PhD Defence
Jun 18, 2025 2:00 PM — 5:00 PM Centre Inria de Paris
Lydia Nishimwe
Robust Neural Machine Translation of User-Generated Content
Robust Neural Machine Translation of User-Generated Content
🎓 PhD Thesis 🎓
Lydia Nishimwe
Robust Neural Machine Translation of User-Generated Content
My Thesis in 180 Seconds
[Public Speaking Contest] I was a finalist in the 2025 Sorbonne Université edition.
Mar 10, 2025 6:00 PM — 8:00 PM Sorbonne Université
Lydia Nishimwe
My Thesis in 180 Seconds
Making Sentence Embeddings Robust to User-Generated Content
[Microsoft Seminar] Extended presentation of the LREC-COLING 2024 paper of the same title.
May 29, 2024 2:30 PM — 3:30 PM Online
Lydia Nishimwe
Making Sentence Embeddings Robust to User-Generated Content
Making Sentence Embeddings Robust to User-Generated Content
LREC-COLING 2024
Lydia Nishimwe, Benoît Sagot, Rachel Bawden
Making Sentence Embeddings Robust to User-Generated Content
RoLASER
Making LASER sentence embeddings robust to user-generated content via Knowledge Distillation and Data Augmentation.
RoLASER
The MRL 2022 Shared Task on Multilingual Clause-level Morphology
Omer Goldman, Francesco Tinner, Hila Gonen, Benjamin Muller, Victoria Basmov, Shadrack Kirimi, Lydia Nishimwe, Benoît Sagot, Djamé Seddah, Reut Tsarfaty, Duygu Ataman