no code implementations • MTSummit 2021 • Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
Machine Translation (MT) systems often fail to preserve different stylistic and pragmatic properties of the source text (e. g. sentiment and emotion and gender traits and etc.)
no code implementations • MTSummit 2021 • Kamal Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
Given that 44% of Indian population speaks and operates in Hindi language and we address the above challenges by presenting an English–to–Hindi neural machine translation (NMT) system to translate the product reviews available on e-commerce websites by creating an in-domain parallel corpora and handling various types of noise in reviews via two data augmentation techniques and viz.
no code implementations • ACL (ECNLP) 2021 • Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
We train an English–to–Hindi neural machine translation (NMT) system to translate the product reviews available on e-commerce websites.
1 code implementation • 23 Oct 2023 • Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah
Translating questions using Neural Machine Translation (NMT) poses more challenges, especially in noisy environments, where the grammatical correctness of the questions is not monitored.
no code implementations • 7 Aug 2022 • Mandar Kulkarni, Soumya Chennabasavaraj, Nikesh Garera
We propose a transformer-based approach for code-mix query translation to enable users to search with these queries.