Vol. 43 No. 7 July 2002 ATR-MATRIX,,, ATR ITL ATR-MATRIX ATR-MATRIX 90% ATR-MATRIX Development and Evaluation of ATR-MATRIX Speech Translation System
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1 Vol. 43 No. 7 July 2002 ATR-MATRIX,,, ATR ITL ATR-MATRIX ATR-MATRIX 90% ATR-MATRIX Development and Evaluation of ATR-MATRIX Speech Translation System Fumiaki Sugaya,,, Toshiyuki Takezawa, Eiichiro Sumita, Yoshinori Sagisaka, and Seiichi Yamamoto ATR-MATRIX speech translation system was developed at ATR Interpreting Telecommunications Research Laboratories (ATR-ITL). In this paper we explain the system s outline and its development process including the initial objective, corpus collection and its overall evaluation. Each of three major components of the system: speech recognition, language translation, and speech synthesis, introduced an innovative corpus-based technology. In the paper, however the explanation is focused to major topics in the overall system, while rendering appropriate references to detail explanations of specific technology. We also explain some experimental results: additional sessions improve the performance of the same task ATR ATR Interpreting Telecommunications Research Laboratories ITL 1) ITL ATR-MATRIX 2) ATR ATR Spoken Language Translation Research Laboratories KDDI Presently with KDDI R&D Laboratories, Inc. Presently with Graduate School of Kobe University Presently with Graduate School of Waseda University 3) VERBMOBIL 21) 5) ATR-MATRIX TOEIC ITL ITL ATR-MATRIX 2 ITL 3 ATR-MATRIX 2230
2 Vol. 43 No. 7 ATR-MATRIX ATR-MATRIX 6 ATR-MATRIX 7 8 ITL ITL ATR 1 ITL Spontaneous speech 15),16) spontaneous speech read speech spontaneous speech ) SLDB 17) 9) 12) 98 ATR-MATRIX ATR-MATRIX 3. ATR-MATRIX ATR-MATRIX 1 19) ITL SPREC 7) TDMT 13) CHATR 20) 1 ATR-MATRIX Fig. 1 Configuration of ATR-MATRIX speech translation system.
3 2232 July Lisp 100 msec PC Pentium III 450 MHz 1 1 Table 1 Task/domain in data collection. 2 Table 2 Rule for conversation proceeding
4 Vol. 43 No. 7 ATR-MATRIX Table 3 Feature comparison between monolingual and bilingual DB ATR-MATRIX 5.1 HMM ML-SSS 6) N-gram 10) 5.2 ATR-MATRIX TDMT 12) TDMT X Y X X X Y Y to X (( ), ( )...), Y at X (( ),...),... X Y Y to X Y at X X Y 13) JE JK JG EJ A B C 98% 85% TDMT 1
5 2234 July 2002 Table 4 4 Rank criteria for translation evaluation. 5 Table 5 Data size used for language translation subsystem. Fig. 2 2 Relationship between translation rate and pattern extraction rate. 6 Table 6 Evaluation results for several language pairs /2 85.0% 95.3% 5.3 TDMT 1 SPREC N 19) 5.4 TDMT
6 Vol. 43 No. 7 ATR-MATRIX 2235 Table 7 7 System s specification and host performance. Fig. 3 3 Configuration for end-to-end dialogue experiment. 14) TDMT 8 Table 8 Performances of subsystems ),4) 1 SPREC TDMT CHATR 7 barge-in ATR-MATRIX LAN TV 8 ATR-MATRIX SPREC 7) ATR-MATRIX TOEIC MAP-VFS GUI perplexity 4 perplexity 5 6
7 2236 July Table 9 Data size of dialog tests. 4 Perplexity Fig. 4 Perplexity along dialogues. 5 Fig. 5 Session time along dialogues. 6 Fig. 6 Word accuracy along dialogues. 1 3 Perplexity 18.3% 23.8% 18.0% 20% 8) % ATR SLDB 17) 6.8 SLDB SLDB SLTA1 8 8 A A+B A+B+C 4 A A A+B A B A+B+C A B C 7 8 SLDB % 10% 7
8 Vol. 43 No. 7 ATR-MATRIX 2237 Table Data size of dialogue tests without attention to machine. Fig. 7 7 Word accuracy vs. sentence length. Fig. 8 8 Translation rate vs. sentence length ATR- MATRIX 22) ATR-MATRIX PC 9 Fig. 9 Effects of speaking style. TV 2 SPREC ) 11)
9 2238 July (1) (2) (3) (4) (5) (6) (7) 9 7.4% 1 8.2% 1.2% SPREC 82.5% 83.04% 82.46% 83% % 98% ) TOEIC TOEIC 575 ATR-MATRIX
10 Vol. 43 No. 7 ATR-MATRIX 2239 PC % 85% 9.2 ATR-MATRIX ATR-MATRIX ATR ATR 1) ASURA Vol.37, No.9, pp (1996). 2) Takezawa, T., Morimoto, T., Sagisaka, Y., Campbell, N., Iida, H., Sugaya, F., Yokoo, A. and Yamamoto, S.: A Japanese-to-English speech translation system: ATR-MATRIX, Proc. ICSLP 1998, pp (1998). 3) Sugaya, F., Takezawa, T., Yokoo, A. and Yamamoto, S.: End-to-end evaluation in ATR- MATRIX: Speech translation system between English and Japanese, Proc. Eurospeech99, pp (1999). 4) ATR-MATRIX SP , pp (June 2000). 5) D-II Vol.J84-D-II, No.11, pp (2001). 6) Ostendorf, M. and Singer, H.: HMM topology design using maximum likelihood successive state splitting, Computer Speech and Language, Vol.11, No.1, pp (1997). 7) ATR-MATRIX Q-20 (Mar. 1998). 8) D-II Vol.J84-D-II, No.1, pp (2001). 9) 1999 pp (1999). 10) N-gram D- II Vol.J81-D-II, No.9, pp (1998). 11) N-gram D-II Vol.J83-D-II, No.11, pp (2000). 12) Vol.6, No.5, pp (1999). 13) Sumita, E., Yamada, S., Yamamoto, K., Paul, M., Kashioka, H., Ishikawa, K. and Shirai, S.: Solutions to Problems Inherent in Spokenlanguage Translation: The ATR- MATRIX Approach, Proc. MT Summit 99, pp (Sep. 1999). 14)
11 2240 July 2002 Vol.5, No.4, pp (1998). 15) SP , pp.1 5 (Dec. 2000). 16) 99 SLP-31-2 (2000). 17) Morimoto, T., Uratani, N., Takezawa, T., Furuse, O., Sobashima, Y., Iida, H., Nakamura, A., Sagisaka, Y., Higuchi, N. and Yamazaki, Y.: A speech and language database for speech translation research, Proc. ICSLP 94, pp (1994). 18) Vol.83, No.8, pp (2000). 19) Vol.6, No.2, pp (1999). 20) Campbell, N.: CHATR: A high-definition speech re-sequencing systems, Proc. ASA/ASJ Joint Meeting, pp (1996). 21) Wahlster, W.: verbmobil: foundations of speech-to-speech translation, Springer (2000). 22) pp (Feb. 2001). ( ) ( ) KDD 3 9 ATR KDDI ATR ATR ATR ACL NTT 61 ATR IEEE
12 Vol. 43 No. 7 ATR-MATRIX ATR ATR IEEE
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