A key aspect in child language development involves inducing
the rules that determine the relations of the arguments to
their verbal predicate, i.e., semantic roles. Here, we investigate
whether child-directed speech facilitates learning ‘who
does what to whom' in English and Russian, two languages
that strongly differ in their amount of case-marking and word
order variation. We ask whether a contextual, distributional
learner can more easily learn to assign semantic roles to arguments
based on child-directed speech versus adult-directed
speech. To this end, we represent the arguments of a verb
with contextualised word embeddings extracted from neural
language models. We compare the classification accuracy
of semantic roles based on these representations between utterances
extracted from corpora of child-directed speech and
adult-directed speech. We further study to what extent semantic
roles can be predicted based on arguments represented
by different levels of information, such as non-contextualised
representations, the position in the sentence, and case marking.
We find that child-directed speech facilitates the learning
of semantic roles, an important cornerstone for learning the
morphosyntactic features of a language. However, the effect
of child-directed speech is more pronounced in Russian than
in English, indicating that child-directed speech may be optimised
more strongly in a language where arguments are expressed
in more varied forms and positions, as is the case in
Russian.