(i) (ii) % (iii) Classification of Phonological Changes Reflected in Text: Toward a Characterization of Written Utterances Chiaki Miyazaki and S

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1 (i) (ii) % (iii) Classification of Phonological Changes Reflected in Text: Toward a Characterization of Written Utterances Chiaki Miyazaki and Satoshi Sato Phonological changes reflected in text can be powerful in characterizing utterances of dialogue agents or characters lines in narratives. To use phonological changes to automatically characterize utterances, (i) we collected phonologically changed expressions from characters written utterances and (ii) formalized the knowledge required to generate phonologically changed expressions. In particular, we categorized the expressions into 137 patterns by analyzing them from the points of the phenomena concerned and the environments of the occurrences. We experimentally confirmed that the patterns cover more than 80% of the phonologically changed expressions used in novels and comics. Furthermore, (iii) to investigate whether phonological change patterns can be effective in characterization, we conducted an experiment that estimated speakers (characters) of the utterances and confirmed that the information on phonological changes improved the performance of speaker estimation for several characters. Key Words: Phonological Changes, Characters, Written Utterances, Nagoya University Graduate School of Engineering

2 Vol. 26 No. 2 June ( 2012) 1 2,3,4,5 ( 2011a) ( 2011b) ( 2015) (Miyazaki, Hirano, Higashinaka, Makino, and Matsuo 2015; 2016) concier/shabette chara/

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22 Vol. 26 No. 2 June Rec = T P T P + F N, P rec = T P 2 Rec P rec, F = T P + F P Rec + P rec (P43) 50% 25 (P36) 90% (1) LIBLINEAR version 2.1(Fan, Chang, Hsieh, Wang, and Lin 2008) L

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27 % P10 P11 P50 (2009). ()., 24 (5), pp Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., and Lin, C.-J. (2008). LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research, 9 (Aug), pp (1955).., pp (2011a).., 150, pp (2011b)... (2006)..., 124, 2, pp (1999). 2.. Kudo, T., Yamamoto, K., and Matsumoto, Y. (2004). Applying Conditional Random Fields to Japanese Morphological Analysis. In Proceedings of the 2004 Conference on Empirical 433

28 Vol. 26 No. 2 June 2019 Methods in Natural Language Processing, pp (2012). JUMAN version 7.0. Li, J., Galley, M., Brockett, C., Spithourakis, G., Gao, J., and Dolan, B. (2016). A Persona- Based Neural Conversation Model. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pp Mairesse, F. and Walker, M. (2007). PERSONAGE: Personality Generation for Dialogue. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp (1992)... K (2012)... (2016).., 31 (1). DSF-515. Miyazaki, C., Hirano, T., Higashinaka, R., Makino, T., and Matsuo, Y. (2015). Automatic Conversion of Sentence-end Expressions for Utterance Characterization of Dialogue Systems. In 29th Pacific Asia Conference on Language, Information and Computation, pp Miyazaki, C., Hirano, T., Higashinaka, R., and Matsuo, Y. (2016). Towards an Entertaining Natural Language Generation System: Linguistic Peculiarities of Japanese Fictional Characters. In Proceedings of the SIGDIAL 2016 Conference, pp (2017).., 24 (2), pp (2014).., 21 (6), pp (2015).., 29, pp (2012).., 53 (4), pp (2013)

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