課題遂行型対話実験による日英及び日中音声翻訳システムの評価

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(1)社団法人情報処理学会研究報告 IPSJ SIG Technical Report. 2006−SLP−60（10） 2006／2／4.

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(8) /:98;-{on4>= c @ [. Task-Oriented Dialogue Experiments for an Evaluation of the ATR Speech-to-Speech Translation System in Japanese-English and in Japanese-Chinese MIZUSHIMA Toshiyuki TAKEZAWA Tohru SHIMIZU and Genichiro KIKUI Masahide ATR Spoken Language Communication Research Laboratories, Kyoto 619-0288, Japan. We conducted task-oriented dialogue experiments in order to evaluate the ATR speech-to-speech translation (S2ST) system, which supported not only Japanese-English but also Japanese-Chinese, as a communication tool. On average, one piece of information could be transmitted from the information source speaker to his/her counterpart after speaking a total of two times. The lower speech recognition performance of Chinese, as opposed to other languages, decreased the task achievement rates of the experiments between Japanese and Chinese speakers. Speakers who could divide information and use short sentences in each utterance, thereby decreasing recognition errors, could perform the tasks more steadily and more effectively. ? rÜH

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(163) 2 . . # 10. ('. ½. I. % M $M<OQ d. ÖÅ. QR. 4 5 67189:;.<=718?>A@CBD718E.F#GIHJKLNMOAPRQSM PDT.UV.WXAY.Z[CBD718C\^]_a`cbedgfh1ikjDlmB?noqp2r sutwv x. V. ä . 3. g. Yamamoto, S. “Toward Speech Communications beyond Language Barrier - Research of Spoken Language Translation Technologies at ATR -,” Proc. of ICSLP2000, Vol. IV, pp.406-411, 2000. Takezawa, T. and Kikui, G., “Collecting Machine -Translation -Aided Bilingual Dialogues for Corpus-Based Speech Translation,” Proc. of EUROSPEECH2003, pp. 2757-2760, 2003.. yB]zWC{}|Pc~#Ne{ `S{ 1X YS ?Pc]W îej]VW WTBSU -{ 3 WieC#B-^ k CC{¡DMC ¢£ .¤(¥2¦1§ ¨©1ª« { pp.135-142, 2004. yBA¬z{}|®.~#¯{°± ²#{ ³T¯ UY#X´.YSV ?WµPc.`²^¶S·Sie¸ j¹uV® W S»¼S½C¾ 11 A¿À HS¾ { 229-332 { 2005. º{ y^z{}|iej~#V{W f{Åµ ®fSfÁSÅÂÆC`.ÁSÃÂ#ÄpmBT]UWCXPcYSN ePc ÇAÈÉ ÊAË&Ì?ÍeÎ ÏSÐ#ÑSÒÓÔÕ#ÖC×ØÒ#Ì 1-P-17 Ì 2005. Ìàá ÌâãÏäCå æçCèÇ.éêË , ëÙÚì ÇÌ}ÛíÜ1ÑÝ#îçCÌÞè ß , Vol.55, No.8, pp.345-350, 2005. ïð , ñSò Ç, ý#óSþô îõ, ÿ ÙÚ ì Ìõ âöÏË ä1ÍN÷ÎøÏCùCÐ úÑCûSÒCü ÓÔ ATRASR Õ Ö×ØÒ , 1-P-30, 2004. ,. H. Yamamoto, S. Isogai, and Y. Sagisaka, “ Multi-class composite N-gram language model,” Speech Communication, vol. 41, pp. 369-379, 2003. [9] Y. Akiba, T. Watanabe, and E. Sumita, “ Using language and translation models to select the best among outputs from multiple MT systems,” Proc. COLING, pp. 8-14, 2002. [10] T. Watanabe and E. Sumita, “ Example-based decoding for statistical machine translation,” Proc. MT Summit IX, 2002. [11] K. Imamura, H. Okuma and E. Sumita, “ Practical approach to syntax-based statistical machine translation,” Proc. MT Summit X, pp. 267-274, 2005. [12] H. Kawai, T. Toda, J. Ni, M. Tsuzaki, and K. Tokuda, “ XIMERA: A new TTS from ATR based on corpus-based technologies,” Proc. 5th ISCA Speech Synthesis Workshop, 2004. [13]. áÌ#ÌÞß Ìâ åæ

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