12 citations · 26 across the 6 of their papers we have counts for
6 papers
Evaluation of Morphological Embeddings for English and Russian Languages
Vitaly Romanov, Albina Khusainova
This paper evaluates morphology-based embeddings for English and Russian languages. Despite the interest and introduction of several morphology-based word embedding models in the p…
Evaluation of Morphological Embeddings for the Russian Language
Vitaly Romanov, Albina Khusainova
A number of morphology-based word embedding models were introduced in recent years. However, their evaluation was mostly limited to English, which is known to be a morphologically…
Hierarchical Transformer for Multilingual Machine Translation
Albina Khusainova, Adil Khan, Adín Ramírez Rivera +1
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate transla…
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…
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation
Albina Khusainova, Adil Khan, Adín Ramírez Rivera
There is a huge imbalance between languages currently spoken and corresponding resources to study them. Most of the attention naturally goes to the "big" languages: those which hav…