Studies in the Use of Time Into Utterance as a Predictive Feature for Language Modeling
نویسندگان
چکیده
Using time-into-utterance as a predictive factor for language modeling brings a benefit, although this is tiny compared to that obtainable by other non-lexical features [Ward and Vega, 2009], let alone ngram information. As some of the details of the computation may be relevant more generally, this report explores various aspects of this feature, using perplexity as the metric of quality and utility.
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