Before revision:  To disentangle the impacting variables , we train new monolingual models on the same data, but with different tokenizers, both the monolingual and the multilingual version .
After revision:  To disentangle conflating factors , we train new monolingual models on the same data, but with different tokenizers, both the monolingual and the multilingual version .