• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2021 Fiscal Year Final Research Report

Study of a Japanese spoken dialog training system using a situation knowledge

Research Project

  • PDF
Project/Area Number 17K00483
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Learning support system
Research InstitutionShizuoka University

Principal Investigator

Kogure Satoru  静岡大学, 情報学部, 准教授 (40359758)

Co-Investigator(Kenkyū-buntansha) 近藤 真  静岡大学, 情報学部, 教授 (30225627)
小西 達裕  静岡大学, 情報学部, 教授 (30234800)
野口 靖浩  静岡大学, 情報学部, 准教授 (50536919)
Project Period (FY) 2017-04-01 – 2022-03-31
Keywords日本語学習支援 / ディクトグロス / 発音評価
Outline of Final Research Achievements

To address the problem of the shortage of teachers in second language learning, we have developed a Japanese language learning support system that enables self-study and cooperative learning.
In this research, we focused on three areas in particular: (1) development of a Japanese dialogue training system based on cooperative learners, (2) development of speech recognition technology for beginners of Japanese, and (3) realization of dialogue control with user profiles.
We developed a learning support system that enables learners to learn together with CLA, a cooperative learner agent, and a learning support system with a pronunciation error detection system that takes into account the pronunciations errors made by native speakers. We also developed a Japanese language learning support system with a function to recommend the next contents to be learned according to the learner's comprehension status.

Free Research Field

学習支援

Academic Significance and Societal Importance of the Research Achievements

現在,日本語対話訓練システムの研究は幾つか行われている.発音の評価を行うシステムなどは多く存在し商用のアプリケーションも存在する.しかし,音声対話をベースとした,日本語対話訓練システムはほとんど存在しない.本研究では,日本語を第二言語とする日本語初学者が,独学でも複数の学習者と教師がいる状況を疑似体験できる環境を構築する.これからますます日本語を学びたい学習者の数が増えていくと予想されるため,本研究で作成する音声が利用可能な日本語対話訓練用システムを開発することは非常に意義のある研究といえる.

URL: 

Published: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi