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Detecting Language Impairments in Autism: A Computational Analysis of Semi structured Conversations with Vector Semantics

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Figure

Figure 1: Semantic similarity for each diagnostic group as com-pared to the semantic content of Gold Standard transcripts
Figure 3: Child word counts versus semantic similarity to goldstandard. As children produce more words, similarity to thegold standard also increases
Table 4: Manhattan distance between all pairs of word vectorswithin each diagnostic group, for random word samples.

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