lydia.nishimwe [at]

Short bio

  • Bachelor of Science in Mathematics and Computer Science, Université Grenoble Alpes
  • Master of Engineering in Mathematics and Computer Science, École Centrale de Nantes

Thesis topic

Robust Neural Machine Translation.

Short abstract

Neural machine translation models struggle to translate texts that differ from the “standard” data commonly used to train them. In particular, social media texts pose many challenges because they tend to be “noisy”: non-standard use of spelling, grammar and vocabulary; typographical errors; use of emojis, hashtags and at-mentions; etc. I aim to develop new methods to better translate these texts.