Abstract
The paper describes the corpus of Russian spontaneous monologues and the results of its expert manual annotation. The corpus is balanced with respect to speakers’ social characteristics and a text genre. The analysis of manual labelling of transcriptions reveals experts’ disagreement in sentence boundary detection. The paper demonstrates that labelled boundaries may have different status. We also show that speakers’ social characteristics (gender and speech usage) and a text genre influence inter-labeller agreement.
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References
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Stepikhov, A. (2013). Analysis of Expert Manual Annotation of the Russian Spontaneous Monologue: Evidence from Sentence Boundary Detection. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_5
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DOI: https://doi.org/10.1007/978-3-319-01931-4_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01930-7
Online ISBN: 978-3-319-01931-4
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