Fahimeh Saleh — accepted AI-conference papers

2021

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?

Fahimeh Saleh, Wray Buntine, Gholamreza Haffari, Lan Du

EMNLP 2021finding

Multilingual Neural Machine Translation (MNMT) trains a single NMT model that supports translation between multiple languages, rather than training separate models for different languages. Learning a single model can enhance the low-resource translation by leveraging data from multiple languages. Ho…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2020

Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation

Fahimeh Saleh, Wray Buntine, Gholamreza Haffari

COLING 2020main

Scarcity of parallel sentence-pairs poses a significant hurdle for training high-quality Neural Machine Translation (NMT) models in bilingually low-resource scenarios. A standard approach is transfer learning, which involves taking a model trained on a high-resource language-pair and fine-tuning it…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗