Abstract
The study is aimed at detecting stable wording patterns of the utterances with directive function in Russian, and based on the material of speech corpus containing long-term audio recordings of everyday spoken communication. The lemmatized and morphologically annotated mini-corpus in question includes 2030 utterances with 2nd person Sg and Pl verb forms in imperative mood and consists of 11075 word forms. The research involves the data on frequencies of (co-)occurrences of word forms, lemmas, parts of speech within the mini-corpus.
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Notes
- 1.
For details, see [15]. In the listing the so called «whimperatives» and other indirect ways of expressing commands, as well as verbless directives are not taken into account.
- 2.
See [18] for a detailed overview of the approaches to dialogue act recognition, based on intra-utterance features or on inter-utterance context.
- 3.
Morphological annotation is carried out using the analyzer MyStem, developed for Russian by I. Segalovich and V. Titov at «Yandex». The list of POS-tags includes: S = noun, A = adjective, NUM = numeral, ANUM = numeral adjective, V = verb, ADV = adverb, PRAEDIC = predicative, SPRO = pronoun, APRO = adjectival pronoun, ADVPRO = adverbial pronoun, PR = preposition, CONJ = conjunction, PART = particle, INTJ = interjection, СOM = part of compound word; «foreign» means a word of a foreign language. The abbreviations NEG = negative (negation), IRR = irrealis are used in the glosses above.
- 4.
The sequences слушай слушай ‘listen listen’(#148), подожди подожди ‘wait wait’(#33) and слушайте слушайте ‘listen-Pl listen-Pl’(#17) are not under consideration, as their presence in the data is caused by the multiplicity of single-word utterances слушай, слушайте, подожди.
- 5.
The asterisk marks unacceptable sentences.
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Acknowledgement
The research is supported by the Russian Science Foundation (RSF), project #14-18-02070 «Everyday Russian Language in Different Social Groups».
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Blinova, O. (2016). Modeling Imperative Utterances in Russian Spoken Dialogue: Verb-Central Quantitative Approach. 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_59
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