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Speech Acts Annotation of Everyday Conversations in the ORD Сorpus of Spoken Russian

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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Abstract

The paper describes annotation principles developed for tagging of speech acts in the “One Day of Speech” (ORD) corpus of Russian everyday speech, with special attention being paid to categories and subcategories of speech acts distinguished in the ORD. Annotation of speech acts is a part of pragmatic annotation of the corpus, which includes as well the tagging of macro- and microepisodes of verbal communication. Speech acts are annotated on four levels: (1) the orthographic transcript with information on syntagmatic and phrasal boundaries, (2) the speakerʼs code, (3) the main category of a speech act, and (4) its subcategory. Practical approbation of the proposed annotation scheme has been made on the material of 6 macroepisodes of everyday communication, in which 2250 speech acts have been discerned. Pragmatic annotation of the ORD corpus provides an opportunity to study everyday discourse in terms of speech acts and to study linguistic properties and patterns of speech acts of different types.

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Acknowledgements

The annotation principles for macro episodes tagging have been developed with support of the Russian Foundation for Humanities (project # 12-04-12017, “Information System of Communication Scenarios of Russian Spontaneous Speech”). The presented statistics were obtained within the framework of the project “Everyday Russian Language in Different Social Groups” supported by the Russian Science Foundation, project # 14-18-02070.

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Correspondence to Tatiana Sherstinova .

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Sherstinova, T. (2016). Speech Acts Annotation of Everyday Conversations in the ORD Сorpus of Spoken Russian. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_76

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_76

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