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An Investigation of Phonological Features and Acoustic Features to Auto-Classify Japanese Onomatopoeias into Semantic Usage Category.

, , , , , и . SCIS&ISIS, стр. 220-225. IEEE, (2018)

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Similarity-Based Approach to Earthenware Reconstruction., , , и . ICIAP, стр. 478-483. IEEE Computer Society, (2001)Consideration of Life Rhythm for Hearing-Dog Robots Searching for User., , , , , и . TAAI, стр. 102-105. IEEE Computer Society, (2018)A Verification of Visualization Ability of Onomatopoeia Thesaurus Map for Sound-Symbolism on Japanese Vowels., , , и . SCIS/ISIS, стр. 1-5. IEEE, (2020)Efficient Joint Detection Considering Complexity of Contours., , и . PRICAI, том 1886 из Lecture Notes in Computer Science, стр. 588-598. Springer, (2000)An Investigation of Phonological Features and Acoustic Features to Auto-Classify Japanese Onomatopoeias into Semantic Usage Category., , , , , и . SCIS&ISIS, стр. 220-225. IEEE, (2018)Feasibility of Collaborative Learning and Work Between Robots and Children with Autism Spectrum Disorders., , , , и . JSAI-isAI Workshops, том 10091 из Lecture Notes in Computer Science, стр. 454-461. (2015)Effect of collaborative learning with robot that prompts constructive interaction., , , и . SMC, стр. 2983-2988. IEEE, (2014)A Consideration on Initial Parameter Setting using Onomatopoeias for Interactive Design Tools., , , , и . FUZZ-IEEE, стр. 1-5. IEEE, (2019)Black-and-white drawing support for adobe illustrator using onomatopoeia., , , , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)Effect of robot utterances using onomatopoeia on collaborative learning., , , , и . FUZZ-IEEE, стр. 1268-1272. IEEE, (2014)