CogSci 2022とJCoLE2022, NALOMA 2022にて 以下4件の発表を行います。
- Torii, T., Maeda, A., & Hidaka, S. (2022). Embedding parallelepiped in co-occurrence matrix: simulation and empirical evidence. Joint Conference on Language Evolution (JCoLE2022).
- Akihiro Maeda, Takuma Torii and Shohei Hidaka (2022). Parallelogram structure of analogy in word co-occurrence matrix, Natural Logic Meets Machine Learning III Workshop @ESSLLI 2022, August 8-12 2022.
- Miyamoto, M. & Hidaka, S. (2022). Identifying a Phonetic Factors of Onomatopoeias Correlated to Sound Symbolic Commons between Japanese and Non-Japanese Speakers. The 44th Annual Meeting of the Cognitive Science Society (CogSci2022). (link)
- Imai, M. et al. (2022). The contingency symmetry bias as a foundation of word learning: Evidence from 8-mont-olds on a matching-to-sample task. The 44th Annual Meeting of the Cognitive Science Society (CogSci2022). (link)