12 citations · 19 across the 3 of their papers we have counts for
3 papers
Experiments with LVT and FRE for Transformer model
Ilshat Gibadullin, Aidar Valeev
In this paper, we experiment with Large Vocabulary Trick and Feature-rich encoding applied to the Transformer model for Text Summarization. We could not achieve better results, tha…
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation
Ilshat Gibadullin, Aidar Valeev, Albina Khusainova +1
Neural machine translation has become the state-of-the-art for language pairs with large parallel corpora. However, the quality of machine translation for low-resource languages le…
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair
Aidar Valeev, Ilshat Gibadullin, Albina Khusainova +1
Neural machine translation is the current state-of-the-art in machine translation. Although it is successful in a resource-rich setting, its applicability for low-resource language…