Robust Rule-Based Break Assignment for Russian
نویسنده
چکیده
This paper introduces a linguistically motivated rule-based method of automatic segmentation of a Russian text in intonational units. We claim that it can provide a high correct prosodic break assignment rate (92.1% junctures correct for spontaneous speech), staying flexible at the same time, which is especially important for rule-based models. The kernel of the proposed algorithm, in addition to the use of punctuation, is automatic morphological analysis, which, being a complicated construct, is the base of a very simple interface grammar. This contextual grammar performs as an intermediate between a linguist and the core of the model, allowing the former to tune the whole system in a very efficient and intuitive way. The algorithm we present in this paper is implemented in the recent “Orator” text-to-speech system for Russian.
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