IPSJ SIG Technical Report Vol.2013-GN-86 No.35 Vol.2013-CDS-6 No /1/17 1,a) 2,b) (1) (2) (3) Development of Mobile Multilingual Medical

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1 1,a) 2,b) (1) (2) (3) Development of Mobile Multilingual Medical Communication Support System and Its Introduction for Medical Field Shun Ozaki 1,a) Takashi Yoshino 2,b) Aguri Shigeno 3 Abstract: In the medical field, there exists a serious problem with regard to communications between hospital staffs and foreign patients. For example, medical translators cannot provide support in cases in which round-the-clock support is required during hospitalization. We have developed a multilingual communication support system called Petit Translation between people speaking different languages during hospitalization. From the results of introduction of Petit Translation to a hospital, we found the following results. (1)We have introduced the multilingual communication support system for a handheld device to the hospital. (2)They often used phrases sets appropriating to medical scene in the medical communication. (3)In the medical field, they need accuracy and speed. Therefore, they only use functions they already know. Keywords: multilingual communication, medical communication, parallel text, smartphone, introduction to hospital 1. 1 Graduate School of Systems Engineering, Wakayama University, Wakayama , Japan 2 Faculty of Systems Engineering, Wakayama University,Wakayama , Japan 3 Center for Multicultural Society Kyoto, Kyoto ,Japan a) ozaki@yoslab.net b) yoshino@sys.wakayama-u.ac.jp [1], [2] [3]

2 Fig. 1 1 System configuration of a voice translation function. [4] [5] M 3 [6] [7] *1 2. PDA [9] [10] PDA *1 [8] ( 1 ) ( 1 1 ) Google ( 2 ) ). 2 2

3 ( 2 2, 3 ) ( 2 3 ) [11] ( 1 2, 3 ). [12] Web ( 1 3 ) J-Server *2 ( 3 ) ( 1 4 ). Web [4] ( 3 1 ). ( 3 2 ) ( 1 ) ( 4 1 ) ( 4 3 ) ( 4 2 ) *2 ( 2 ) ( 4 4 ) / ( 4 5 ) ( 4) ( *3 () ) () *3 3

4 Fig. 2 2 ( 1) Screenshot of the results of a translation function (version 1). 4 ( 1) Fig. 4 Screenshot of a response function (version 1). 3 ( 1) Fig. 3 Screenshot of a scene retrieval function (version 1) ( 1 ) 5 ( 1) ( 2) 5 3 ) 5(a) (b) ( 5(a) 1 ) ( 5(a) 2 ) ( 5 3 ) 2.5 5(c) (d) ( 5(a) 1 ) 4

5 ( 5(a) 2 ) ( 5(b) 3 ) ( 2 ) 6 ( 6(a) 1 ) ( 6(b) 2 ) ( 6(c) 3 ) ( 7(a) 1 [t1] [c1] ) ( 7(a) [t1] [c1]) ( 7(b) 2 (t1) 21 (c1) 30 ) ( 7(c) ) Fig. 5 5 Screenshots of a multiple translation function

6 ( 1 ) ( ) 1 ( 2 ) (ERCP) Google Google Web ( 1 ) 2 (4.1 (1)) ( 2 ) ( 2 3 ) 2 3 ( 2 2 ) PC Web ( 1 ) ( 2 ) ( ) ( 3 ) 6

7 Fig. 6 6 Screenshots of jumping related category function. Fig. 7 7 Screenshots of an example text modifying function. 6.2 ( 1 ) 8 ( 2 ) 9 ( a ) ( 2) ( 9 1 ). ( b ) ( 2) ( 9 2 ). ( 3 ) 7

8 3 ( 1 ) ( 2 ) ( 3 ) NPO (B)( ) Fig. 9 Fig. 8 8 ( ) Screenshot of a reply function (improved). 9 ( ) Screenshot of a result of a translation function (improved) [1] : 23, ( ), nyuukokukanri html ( ). [2] : 23 ( ), ( ), j.go.jp/nyuukokukanri/kouhou/nyuukokukanri html ( ). [3] (2000) [4] (2002). [5] (2007) [6] Vol.J92-D, No.6, pp (2009). [7], 22 pp (2010) [8] [9] PDA 2003-HI-103 pp.1-6 (2003). [10] 2005 pp (2005) [11] N-gram AI pp (2009). [12] Toru Ishida: Language Grid: An Infrastructure for Intercultural Collaboration, IEEE/IPSJ Symposium on Applications and the Internet (SAINT-06), pp (2006). 8

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