Search Results for author:
Found 4 papers, 0 papers with code
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
One reason for this is the relative morphological richness of Indian languages, while another is that most of them fall into the extremely low resource or zero-shot categories.
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning
Generative Adversarial Networks (GAN) offer a promising approach for Neural Machine Translation (NMT).
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
If the evaluation is as rigorous as resource-rich languages, both Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) can produce good results with such large amounts of data.
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare
This paper proposes Federated Learning (FL) based smart healthcare system where Medical Centers (MCs) train the local model using the data collected from patients and send the model weights to the miners in a blockchain-based robust framework without sharing raw data, keeping privacy preservation into deliberation.
