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Automatic Speech Recognition Based on Neural Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Modeling Imperative Utterances in Russian Spoken Dialogue: Verb-Central Quantitative Approach

Author : Olga Blinova

Published in: Speech and Computer

Publisher: Springer International Publishing

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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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previous chapter Microphone Array Directivity Improvement in Low-Frequency Band for Speech Processing
next chapter Multimodal Perception of Aggressive Behavior
Footnotes
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.
 
Literature
1.
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Bunt, H.: The dit++ taxonomy for functional dialogue markup. In: Decker, S., Sichman J., Sierra, C., Castelfranchi, C. (eds.) Proceedings of 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), pp. 13–20 (2009)
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Searle, J.R., Vanderveken, D.: Speech acts and illocutionary logic. In: Vanderveken, D. (ed.) Logic, Thought and Action, pp. 109–132. Springer, Heidelberg (2005)
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Jurafsky, D.: Pragmatics and computational linguistics. In: Horn, L., Ward, G. (eds.) The Handbook of Pragmatics, pp. 578–604. Blackwell Publishing, Oxford (2006)CrossRef
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Aikhenvald, AYu.: Imperatives and Commands. Oxford University Press, New York (2010)
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Searle, J.R.: Expression & Meaning: Studies in the Theory of Speech Act. Cambridge University Press, Cambridge (1979)CrossRef
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Fortuin, E.L.J., Boogaart, R.J.U.: Imperative as conditional: from constructional to compositional semantics. Cogn. Linguist. 20(4), 641–673 (2009)CrossRef
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Khrakovskij, V.S., Volodin, A.P.: Semantika i Tipologija Imperativa: Russkij Imperativ [Semantics and Typology of Imperative: Russian Imperative]. Nauka, Leningrad (1986)
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Stojnova, N.: Pobuditel’nye upotreblenija form nastojashhego i budushhego vremeni [imperative use of forms of present and future tense]. In: Proceedings of the 3rd Conference «Issues of the language: The view of young scientists», pp. 227–243. Kanzler, Moscow (2014)
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Stolcke, A., Ries, K., Coccaro, N., Shriberg, E., Bates, R., Jurafsky, D., Taylor, P., Martin, R., Van Ess-Dykema, C., Meteer, M.: Dialogue act modeling for automatic tagging and recognition of conversational speech. Comput. Linguist. 26(3), 339–373 (2000)CrossRef
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Kral, P., Cerisara, Ch.: Dialogue act recognition approaches. Comput. Inform. 29(2), 227–250 (2010)
Metadata
Title
Modeling Imperative Utterances in Russian Spoken Dialogue: Verb-Central Quantitative Approach
Author
Olga Blinova
Copyright Year
2016
Book
Speech and Computer

Print ISBN: 978-3-319-43957-0

Electronic ISBN: 978-3-319-43958-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-43958-7_59

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