Probabilistic parse scoring with prosodic information
Nanette M. Veilleux, Mari Ostendorf · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
Prosodic patterns provide important cues for resolving syntactic ambiguity, and can be used to improve the accuracy of automatic speech understanding. With this goal, the authors propose a method of scoring syntactic parses in terms of observed prosodic cues, which can be used in ranking sentence hypotheses and associated parses. Specifically, the score is the probability of a hypothesized word sequence and associated syntactic parse given acoustic features, based on acoustic and language (prosody/syntax) models that represent probabilities in terms of abstract prosodic labels. Experimental results on a corpus of ambiguous sentence pairs indicate that the algorithm achieve ambiguity resolution performance close to that of human listeners.>