Automatic assessment of syntactic complexity for spontaneous speech scoring
Objective measures of syntactic complexity of spontaneous speech are proposed. The measures are found to be robust against errors from automatic speech recognition. Automatic scoring models built using the measures are compared with state-of-the-art. The proposed measures improved agreement between human and machine scores.
syntactic complexity objective measures language testing automated scoring speaking proficiency computer-aided language learning