Parsing Manually Detected and Normalized Disfluencies in Spoken Estonian
نویسنده
چکیده
An experiment with an Estonian Constraint Grammar based syntactic analyzer is conducted, analyzing transcribed speech. In this paper the problems encountered during parsing disfluencies are analyzed. In addition, the amount by which the manual normalization of disfluencies improved the results of recall and precision was compared to non-normalized utterances.
منابع مشابه
Disfluency Detection and Parsing of Transcribed Speech of Estonian
The paper introduces our strategy for adapting a rule based parser of written language to transcribed speech. Special attention has been paid to disfluencies (repairs, repetitions and false starts). A Constraint Grammar based parser was used for shallow syntactic analysis of spoken Estonian. The modification of grammar and additional methods improved the recall from 97.5% to 97.7% and precision...
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In this paper we describe how we have adapted the syntactic analyzer of written Estonian to the spoken language. The Constraint Grammar shallow syntactic parser (Müürisep et al. 2003) was used for the automatic syntactic analysis of the corpus of Estonian spoken language (Hennoste et al. 2000). To adapt the parser, the clause boundary detection rules as well as some syntactic constraints had to...
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تاریخ انتشار 2007