IEEE

A Clause-Based Data Augmentation Method for Low-Resource Neural Machine Translation

Abstract: Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low ...
IEEE

Using Kolmogorov–Arnold Networks in Transformer Model: A Study on Low-Resource Neural Machine Translation

Abstract: Neural machine translation is one of the most significant research area with the widespread use of deep learning. However, unlike other problems, machine translation includes at least two ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
InfoQ

Google Introduces TranslateGemma Open Models for Multilingual Translation

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...