Monotonic Translation

Monotonic translation focuses on translating text while preserving the source language's word order, addressing a key challenge in machine translation, particularly for languages with differing structures. Current research emphasizes improving simultaneous and streaming machine translation systems by incorporating techniques like chunk-wise processing and leveraging translation history to enhance accuracy and reduce latency. This work is significant for advancing machine translation capabilities, particularly in real-time applications like simultaneous interpreting and speech translation, and for a deeper understanding of the relationship between word order and translation quality.