When we communicate in a foreign language, we often use cues from our mother tongue to facilitate comprehension. Computational models ignore the differences between languages but still perform well in cross-lingual understanding. This research examines if multilingual models can reflect transfer effects and aims at developing cognitively plausible models to support language learning.