Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning

no code implementations • 20 Mar 2024 • Shivam Ratnakant Mhaskar, Nirmesh J. Shah, Mohammadi Zaki, Ashishkumar P. Gudmalwar, Pankaj Wasnik, Rajiv Ratn Shah

In this paper, we present the development of an isometric NMT system using Reinforcement Learning (RL), with a focus on optimizing the alignment of phoneme counts in the source and target language sentence pairs.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6