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.
|Number of pages||10|
|Publication status||Published - 2004|