We propose a model for a statistical representation of the conceptual structure in a restricted subset of spoken natural language. The model is used for segmenting a sentence into phrases and labeling them with concept relations (or cases). The model is trained using a corpus of annotated transcribed sentences. The performance of the model was assessed on two tasks, including DARPA ATIS class A sentences.
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Pieraccini et al. (1991) studied this question.
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