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 to achieve improved efficiency and scalability in NMT tasks. MOHESR employs a flexible design, enabling precise control over the translation proc