A novel framework named MOHESR proposes a innovative approach to neural machine translation (NMT) by seamlessly integrating dataflow techniques. The framework leverages the power of dataflow architectures in order to realize improved efficiency and scalability in NMT tasks. MOHESR utilizes a dynamic design, enabling detailed control over the tra… Read More