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Personality, Working Memory Capacity and Expert Manual Annotation of German Spontaneous Speech

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Abstract

The paper explores the relationship between expert manual annotation of German spontaneous speech and annotator’s individuality with regard to personality traits, working memory capacity and processing speed. The research question is whether there is a relationship between the annotated sentence length and individual traits of the annotator. The participants were asked to detect sentence boundaries in the transcripts of German spontaneous monologues and to perform several test tasks. Personality traits were examined using the Five Factor Personality Inventory. Working memory capacity was measured through reading span and operation span tasks. To compute processing speed we used Letter Comparison and Pattern Comparison tasks. Linear mixed modelling revealed the significant effect of the personality trait “Neuroticism” on the length of annotated sentences. Contrary to the initial hypothesis, working memory capacity of annotators was not related to sentence length. Processing speed did not have any effect on sentence length either.

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References

  1. Guaïtella, I.: Rhythm in speech: what rhythmic organizations reveal about cognitive processes in spontaneous speech production versus reading aloud. J. Pragmat. 31, 509–523 (1999)

    Article  Google Scholar 

  2. Lee, A., Glass, J.: Sentence detection using multiple annotations. In: Proceedings of Interspeech 2012, pp. 1848–1851 (2012)

    Google Scholar 

  3. Stepikhov, A.: Resolving ambiguities in sentence boundary detection in Russian spontaneous speech. In: Habernal, I., Matoušek, V. (eds.) TSD 2013. LNCS (LNAI), vol. 8082, pp. 426–433. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40585-3_54

    Chapter  Google Scholar 

  4. Stepikhov, A., Loukina, A.: Sentence boundaries in text and pauses in speech: correlation or confrontation? In: Proceedings of the 18th International Congress of Phonetic Sciences. The University of Glasgow, Glasgow, pp. 0588.1–05885 (2015)

    Google Scholar 

  5. Vannikov, Yu., Abdalyan, I.: Eksperimental’noe issledovanie chleneniya razgovornoj rechi na diskretnye intonacionno-smyslovye edinicy (frazy). In: Sirotinina, O.B., et al. (eds.) Russkaya razgovornaya rech, Saratov, pp. 40–46 (1973). (in Russian)

    Google Scholar 

  6. Chistikov, P., Khomitsevich, O.: Online automatic sentence boundary detection in a Russian ASR system. In: Potapova, R.K. (ed.) SPECOM 2011, Russia, Kazan, pp. 112–117 (2011)

    Google Scholar 

  7. Stepikhov, A.: Analysis of expert manual annotation of the Russian spontaneous monologue: evidence from sentence boundary detection. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS (LNAI), vol. 8113, pp. 33–40. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-01931-4_5

    Chapter  Google Scholar 

  8. Stepikhov, A., Loukina, A.: Annotation and personality: individual differences in sentence boundary detection. In: Ronzhin, A., Potapova, R., Delic, V. (eds.) SPECOM 2014. LNCS (LNAI), vol. 8773, pp. 105–112. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11581-8_13

    Chapter  Google Scholar 

  9. Stepikhov, A., Loukina, A.: Low inter-annotator agreement in sentence boundary detection and annotator personality. In: Ronzhin, A., Potapova, R., Németh, G. (eds.) SPECOM 2016. LNCS (LNAI), vol. 9811, pp. 461–468. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-43958-7_55

    Chapter  Google Scholar 

  10. Block, J.: The five-factor framing of personality and beyond: some ruminations. Psychol. Inq. 21(1), 2–25 (2010)

    Article  Google Scholar 

  11. Swets, B., Desmet, T., Hambrick, D.Z., Ferreira, F.: The role of working memory in syntactic ambiguity resolution: a psychometric approach. J. Exp. Psychol. Gen. 136(1), 64–81 (2007)

    Article  Google Scholar 

  12. Conway, A.R.A., Kane, M.J., Bunting, M.F., Hambrick, D.Z., Wilhelm, O., Engle, R.W.: Working memory span tasks: a methodological review and user’s guide. Psychon. Bull. Rev. 12(5), 769–786 (2005)

    Article  Google Scholar 

  13. Rammstedt, B., Danner, D.: Die Facettenstruktur des Big Five Inventory (BFI): Validierung für die deutsche Adaptation des BFI. Diagnostica 63(1), 70–84 (2017)

    Article  Google Scholar 

  14. Costa, P.T., McCrae, R.R.: Revised Neo Personality Inventory And Neo Five Factor Professional Manual. Psychological Assessment Resources, Odessa (1992)

    Google Scholar 

  15. von der Malsburg, T.: Py-Span-Task - A software for testing working memory span (2015). https://doi.org/10.5281/zenodo.18238

  16. Salthouse, T.A.: The processing-speed theory of adult age differences in cognition. Psychol. Rev. 103(3), 403–428 (1996)

    Article  Google Scholar 

  17. Kuznetsova, A., Brockhoff, P.B., Christensen, R.H.B.: lmerTest: Tests in linear mixed effects models. R package version 2.0-20. http://CRAN.R-project.org/package=lmerTest

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Acknowledgments

This study was supported by the Russian Foundation for Humanities, project No. 15-04-00165, and fellowship programme “Dmitri Mendeleev” of St. Petersburg University and DAAD, project No. 31.23.951.2016. We are grateful to Natalia Gagarina, Hubert Truckenbrodt and Nathalie Topaj from Leibniz-Zentrum für Allgemeine Sprachwissenschaft (ZAS), Berlin, Germany, for their help in organising the experiment. We also thank Susanne Fuchs (ZAS) for her valuable suggestions in the process of experimental design and all the participants of the experiment.

We are also grateful to Beata Beigman Klebanov, Su-Youn Yoon, Jill Burstein and the three anonymous reviewers for their valuable comments and suggestions.

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Stepikhov, A., Loukina, A. (2018). Personality, Working Memory Capacity and Expert Manual Annotation of German Spontaneous Speech. In: Karpov, A., Jokisch, O., Potapova, R. (eds) Speech and Computer. SPECOM 2018. Lecture Notes in Computer Science(), vol 11096. Springer, Cham. https://doi.org/10.1007/978-3-319-99579-3_67

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  • DOI: https://doi.org/10.1007/978-3-319-99579-3_67

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