Development of Spoken Word Recognition Using Contrasting Word- and Chunk-Lists with High Phonotactic Probability Based on Error Analysis

• Project/Area Number: 25370629
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Foreign language education
• Research Institution: Okayama University
• Principal Investigator: Koyama Takashi 岡山大学, 教育学研究科, 准教授 (40243498)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000); Fiscal Year 2015: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2014: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2013: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
• Keywords: リスニング / ディクテーション / 誤答分析 / 単語認知 / 隣接語 / 音素配列確率 / 音素

Outline of Final Research Achievements

Two kinds of English word- and chunk-lists with contrasting phoneme sequences concerning erroneously perceived phoneme sequences were made based on error analysis of dictation. Two groups of students practiced with the words and chunks.
The words were selected in terms of number of neighbors and phonotactic probability to improve word recognition, and the effects of the two lists were compared. The results were analyzed to find an interaction, but it cannot clearly be said that the differences in the improvement in word recognition are caused by the differences in the words used for the practice.