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Introduction

This laboratory focuses on the study of knowledge that speakers of Japanese and English have. Work is in progress on the Japanese FrameNet (JFN) Project to build an online Japanese language database, which describes meanings of words and constructions according to background frame knowledge that Japanese speakers have. The JFN database contains example sentences that are annotated with frame information. Our ultimate goals include incorporating frame knowledge that speakers have into generative AI.

Achievements

■Analyzing relations between frames and constructions
・Research Objective: To describe speakers’ knowledge about words’ meanings and structures.
- Title: Ohara, Kyoko. 2018. Relations between frames and constructions: A proposal from the Japanese FrameNet Constructicon. In Lyngfelt, B. et al. (Eds.) Constructicography: Constructicon Development across Languages, 141-164.
■Multilingual Constructicon Development
Research Objective: To construct a multilingual constructicon by linking Japanese grammatical constructions with those in English and other typologically distinct languages through frame knowledge
- Title: Hasegawa, Yoko, Russell Lee-Goldman, Kyoko Hirose Ohara, Seiko Fujii, and Charles J. Fillmore. 2010. On expressing measurement and comparison in English and Japanese. In Boas, Hans C. (Ed.), Contrastive Studies in Construction Grammar. pp.169-200. Amsterdam: John Benjamins Publishing.
■Linking Japanese FrameNet semantic frames and Kyoto University Case Frames
・Research Objective: To link Japanese FrameNet (JFN) annotated sentences and Kyoto University Case Frames (KCF) example sentences that share the same meaning of a Japanese predicate using AI and NLP methods
- Title: Kyoko Ohara. 2022. Combining two kinds of frame knowledge with crowdsourcing. In Kristian Bensenius (Ed.) Valency and constructions: Perspectives on combining words. pp. 131-154. Gothenburg: University of Gothenburg.

Areas of Research

・Advancing Research in Linguistic Sciences
・Advancing AI and Natural Language Processing Technologies
・Promoting Education in Communication Literacy and Language Literacy
・Facilitating Multilingual Communication

Social Contributions

・Advancing Linguistic Research
・Promoting Education in Linguistic Science and in AI literacy
・Facilitating Multilingual Communication
・Advancing AI and Natural Language Processing Technologies
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