This paper presents an investigation into whether fine-grained information about the distributional properties of nouns in N+V CPs can be identified by the comparatively simple process of extracting bigrams from a large "raw" corpus of Urdu.
the visual analysis allowed us to be able to quickly assimilate information about complex interrelationships in our data: which types of verbs does the word in question occur with with what level of frequency and how does this compare to other words in the list?