ACT-MNMT can be applied to other language pairs by following a similar approach as in the study. The key is to design trigger tokens specific to each translation direction, incorporating common trigger tokens for shared information and specific trigger tokens for target language-specific details. By creating a constrained template with these trigger tokens, the model can effectively understand instructions and generate accurate translations. This method can be extended to new language pairs by adapting the trigger token sequences accordingly.