Abstract
Resolving cultural differences is an important factor in ensuring successful communication. Today's technologies, such as machine translation (MT), enable communication and collaboration among speakers of multiple languages, but the barrier of cultural difference remains, and depending on the country of origin of each party, a word with a positive connotation in one country may have a negative connotation in another. Using a BERT masked language model, constructed from Wikipedia in English and Japanese, we calculated the probability of co-occurrence of positive and negative connotations and the target concepts in template sentences. The proposed method was applied to 13 concepts, and the results are presented in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yamashita, N., Ishida, T.: Effects of machine translation on collaborative work. In: Proceedings of the 20th Anniversary Conference on Computer supported cooperative work (2006)
Pfeil, U., Zaphiris, P., Ang, C.S.: Cultural Differences in Collaborative Authoring of Wikipedia. J. Comput.-Mediat. Commun. 12(1), 88–113 (2006)
Yoshino, T., Miyabe, M., Suwa, T.: A Proposed cultural difference detection method using data from Japanese and Chinese Wikipedia. In: International Conference on Culture and Computing (Culture Computing), pp. 159–166 (2015)
Cho, H., Ishida, T., Oyama, S., Inaba, R., Takasaki, T.: Assisting pictogram selection with categorized semantics. IEICE Trans. Inf. Syst. 91-D(11), 2638–2646 (2008)
Pituxcoosuvarn, M., Lin, D., Ishida, T.: A method for automated detection of cultural difference based on image similarity. In: Nakanishi, H., Egi, H., Chounta, I.-A., Takada, H., Ichimura, S., Hoppe, U. (eds.) CRIWG+CollabTech 2019. LNCS, vol. 11677, pp. 129–143. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28011-6_9
Nishimura, I., Murakami, Y., Pituxcoosuvarn, M.: Image-based detection criteria for cultural differences in translation. In: Nolte, A., Alvarez, C., Hishiyama, R., Chounta, I.-A., Rodríguez-Triana, M.J., Inoue, T. (eds.) CollabTech 2020. LNCS, vol. 12324, pp. 81–95. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58157-2_6
Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of Deep Bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 4171–4186, Association for Computational Linguistics, Dublin (2019)
Kobayashi, N., Inui, K., Matsumoto, Y., Tateishi, K., Fukushima, T.: Collecting evaluative expressions for opinion extraction. In: Su, K.-Y., Tsujii, J., Lee, J.-H., Kwong, O.Y. (eds.) IJCNLP 2004. LNCS (LNAI), vol. 3248, pp. 596–605. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30211-7_63
Weeds, J., Weir, D.: Co-occurrence retrieval: a flexible framework for lexical distributional similarity. Comput. Linguist. 31(4), 439–475 (2005)
Kurita, K., Vyas, N., Pareek, A., Black, A.W., Tsvetkov, Y.: Measuring Bias in contextualized word representations. In: Proceedings of the First Workshop on Gender Bias in Natural Language Processing, pp. 166–172. Association for Computational Linguistics, Dublin (2019)
Acknowledgements
This research was partially supported by a Grant-in-Aid for Scientific Research (A) (17H00759, 2017–2020), a Grant-in-Aid for Scientific Research (B) (21H03561,2021–2024) and a Grant-in-Aid for Early-Career Scientists (21K17794,2021–2024) from the Japan Society for the Promotion of Sciences (JSPS).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Pituxcoosuvarn, M., Murakami, Y., Miwa, K. (2023). Detection for Cultural Difference in Impression Using Masked Language Model. In: Rauterberg, M. (eds) Culture and Computing. HCII 2023. Lecture Notes in Computer Science, vol 14035. Springer, Cham. https://doi.org/10.1007/978-3-031-34732-0_44
Download citation
DOI: https://doi.org/10.1007/978-3-031-34732-0_44
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34731-3
Online ISBN: 978-3-031-34732-0
eBook Packages: Computer ScienceComputer Science (R0)