Consequently, the lexical translation entry for Word-based models splits the probabilistic mass between different translations, leaving the choice based on context to the language model.
in Phrase-based Models, we would have a phrase pair p(in the box, dentro da caixa) and p(in china, na china), where the words "in the box" and "in China" can be translated together to "dentro da caixa" and "na China", which substantially reduces the ambiguity.