204 30 1 SP2-A2015 Digital Picture Book System for Foreign Learners who Studies Japanese Onomatopoeia 1 Arisa Maeda Hiroki Uema Faculty of Informatics, Kansai University Graduate School of Informatics, Kansai University 2 Nanae Shirozu Mitsunori Matsushita Graduate School of Informatics, Kansai University http://researchmap.jp/nanae/ Faculty of Informatics, Kansai University mat@res.kutc.kansai-u.ac.jp, http://amateras.wsd.kutc.kansai-u.ac.jp/ keywords: onomatopoeia, Japanese learners, digital picture book Summary The objective of this study is to support learning of Japanese onomatopoeia for foreigners who learn Japanese. In recent years, the number of such foreigners is increasing. There are a lot of onomatopoeia words in Japanese and many of them are difficult to translate because only the number of onomatopoeia words in foreign languages (e.g., Mandarin, Cantonese) are fewer than these in Japanese. To overcome the cultural difference, this paper proposes a digital picture book system for learning Japanese onomatopoeia. The system presents 32 onomatopoeia words to a user. The design criteria of the system is that: (1) adopts an interface of user participation, (2) presents a tiny story in which onomatopoeic words are associated with pictures, and (3) enables comparison of two synonymous/antomynic onomatopoeias. We conducted a user study with foreign learners and revealed that the proposed system improves understanding of semasiological differences between two confusing onomatopoeic words. 1. [ 13] [ 99] 4500 [ 07] [ 07] 1 2 JR [ 02] [ 10] [ 09]
205 2. e.g., [ 07] e.g., [ 94, 97] e.g., [ 07, 10](1) (2) (3) [ 12] [ 10] 3. 3 1 [ 06] [ 11, 13] [ 06] [ 11] [ 13] 1 22
206 30 1 SP2-A2015 1 [ 13] 2 Flash 3 2 1 [ 10, 02] ONOMATOPENARI [ 10] Web Web [ 02] 4 Web 2 4. 2 1 32 32 70 [ 06] 8 3 87 70 70 20 20 18 10 8 20 Flash 4 2 77.2% 6 70 %
207 1 32 : 3 6 32 [ 07] () () () () () 6 6 () ( ) 8 1 32 1 32 (1) (2) (3) 5. 5 1 1 4 32 1 1 2 18 1 2 1 2 1 2 3 3-A 2 2 1 3-B & 3-C 3-D 3-E Processing Processing.js Web 5 2 32 32 8 4 24 5 5 1
208 人工知能学会論文誌 30 巻 1 号 SP2-A 2015 年 (b) ぴんっ の提示 (a) でこぼこ の提示 図 4 1 枚の絵 静止画 で表現したオノマトペ例 (a) いらいら の提示 (b) ぺらぺら の提示 (c) わいわい の提示 (d) がたがた の提示 (e) にこにこ の提示 図 5 漫画表現を用いて表現したオノマトペ例 日本の漫画は海外でも注目を集めており 政府もクール ムに使用した ジャパン政策の 1 つとして海外にアピールしている こ のことから 漫画的な表現は日本語を学習する外国人に 対しても一定の諒解が得られていると想定できるため これらをオノマトペを説明する表現の 1 つとしてシステ 5 3 利 用 方 法 実装したシステムの動作の遷移例を図 6 に示す 画面右 側の枠内に 2 語のオノマトペが配置されている 図 6-(a)
209 1 & 6-(b) 1 & 2 6-(c) 2 (a) 6. 6 1 5 10 5 5 10 7 3 2 6 1: 5: 5 (1) 2 (2) (3) (2) 3 Apple Mac Book Air 13 6 2 5 2 (b) 6 (c) 32 4.8 2 91.6 % 32 7 8 9 32 4.1 0.8 10 9 2 [ 07]
210 30 1 SP2-A2015 2 4.8 4.1 0.04 0.44 91.6 % 66.9 % 8 32 7 32 10 3 10 2 10 3 10 3 4.8 4.8 5 10 3 10 4 3 2 9 32 3 3 4 3 6 3 2 8 32 5 6 32 12.5 5 4 13.3 4.1 66.9 %
211 10 32 12 32 11 32 32 10 11 12 32 12.8 21.4 10 6 10 18 10 8 10 4 (1) (2) 2 3.6 4.7 10 8 6 2 6 4 4
212 30 1 SP2-A2015 10 6 6 3 6 4 10 10 6 6 5 6 10 2 9 1 1 1 5 1 4.9 32 22 26 4.3 32 5 17 7. 6 7 1 (e.g., [ 07, 10] 3 3 (1) 1 (2) 3 162 225mm
213 (Apple ipad 2) & 13 (: : ) 3- DE (3) 3 3 13 7 2 12 6 6 7 1 6 Apple Mac Book Air 13 3 5 1: 5: 5 7 3 Wilcoxon 3 12 10 7 11
214 30 1 SP2-A2015 3 Wilcoxon Q1: 4 (3 4) 5 (4 5) V =42,p=0.023 Q2: 3.5 (2.75 4) 4 (4 5) V =21,p=0.031 Q3: 4 (2 4) 5 (4 5) V =45,p=0.004 Q4: 4 (2 4.25) 5 (4 5) V =33.5,p=0.039 Q5: 3.5 (2.75 4) 4 (4 5) V =45,p=0.004 6 & 2 2 8. 32 4 32 e.g., &
215 2014 King s College London [ 07], (2007) [ 94], (1994) [ 11],, 2 2, pp. 103 116 (2011) [ 13], http://www.bunka. go.jp/kokugo nihongo/jittaichousa/ (2014/8/31 ) [ 10],,, 34, pp. 69 72 (2010) [ 09],,.A, J92-A 11, pp. 752 763 (2009) [ 06],,,., 2006 9, pp. 191 196 (2006) [ 10],,, 32, pp. 29 36 (2010) [ 02],,, A4-4 (2002) [ 06],ICU, 3, pp. 49 63 (2006) [ 99], http://www.mext.go.jp/b menu/hakusho/nc/ t19990319001/t19990319001.html (2014/8/31 ) [ 12],, http://nihongo.hum.tmu.ac.jp/ nishigori/ onomatopee/onomatopee japanese/index.html (2014/8/31 ) [ 10], (2010) [ 07], (2007) [ 02], (2002) [ 07], (2007) [ 97],,, (1997) [ 13],,, 27, 3N3-OS-01b-7 (2013) 2013 2008 2011 2014 JR MYCOM 2012 HCG 2013 2014 29. 1993 1995 2008 2010,. 2003 2007 2013 Laval Virtual Award ACM. 2014 4 30