Abstract
Ambiguity in the output is a concern for NLG in general. This paper considers the case of structural ambiguity in spoken language generation. We present an algorithm which inserts pauses in spoken text in order to attempt to resolve potential structural ambiguities. This is based on a simple model of the human parser and a characterisation of a subset of places where local ambiguity can arise. A preliminary evaluation contrasts the success of this method with that of some already proposed algorithms for inserting pauses for this purpose. © Springer-Verlag 2004.
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CITATION STYLE
Mellish, C. (2004). Resolving structural ambiguity in generated speech. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3123, 110–119. https://doi.org/10.1007/978-3-540-27823-8_12
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