BibTeX
@MISC{Ward_temporaldistributional,
author = {Nigel G. Ward},
title = {Temporal Distributional Analysis},
year = {}
}
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Abstract
Two salient characteristics of spoken dialogs, in contrast to written texts, is that they are processes in time and that they are co-constructed by the interlocutors. Most current corpusbased methods for analyzing dialog phenomena, however, abstract away from these characteristics. This paper introduces a new corpus-based analysis method, temporal distributional analysis, which can reveal such aspects of dialog. Given a word of interest, this method identifies which words tend to cooccur with it at specific temporal offsets. This can be done not only for words produced by the same speaker but also for the interlocutor’s words. This paper explains the method, presents several ways to visualize the results, illustrates what it reveals about the words I, uh and uh-huh, compares it to non-temporal distributional analysis, and discusses potential applications to speech recognition, generation, and synthesis. 1
