62 citations · 81 across the 5 of their papers we have counts for
5 papers
Machine Learning and value generation in Software Development: a survey
Barakat. J. Akinsanya, Luiz J. P. Araújo, Mariia Charikova +6
Machine Learning (ML) has become a ubiquitous tool for predicting and classifying data and has found application in several problem domains, including Software Development (SD). Th…
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Vladislav Kurenkov, Bulat Maksudov, Adil Khan
In this work, we analyze the performance of general deep reinforcement learning algorithms for a task-oriented language grounding problem, where language input contains multiple su…
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…