A novel framework named MOHESR presents 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 employs a dynamic design, enabling detailed control over the transla