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Addressing_Trobulesome_Words_in_Neural_Machine_...
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MARUYAMA
May 28, 2019
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Addressing_Trobulesome_Words_in_Neural_Machine_Translation.pdf
MARUYAMA
May 28, 2019
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Transcript
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/BHBPLB6OJWFSTJUZPG5FDIOPMPHZ5BLVNJ.BSVZBNB
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USPVCMFTPNFXPSEͱΈͳ͢ ᶃ ᶄ ᶅ
5SPVCMFTPNF8PSE%FpOJUJPO ⾣&YDFQUJPO$SJUFSJB "CTPMVUF$SJUFSJPO (BQ$SJUFSJPO 3BOLJOH$SJUFSJPO 1SPCBCJMJUZ EJTUSJCVUJPO Source sentence =
(x1 , x2 , x3 ) Target sentence = (y1 , y2 , y3 ) HPMETUBOEBSE
5SPVCMFTPNF8PSE%FpOJUJPO ⾣&YDFQUJPO$SJUFSJB "CTPMVUF$SJUFSJPO HPMETUBOEBSEͷग़ྗ֬ͷᮢ PN i (yi ) < p0
1SPCBCJMJUZ EJTUSJCVUJPO Source sentence = (x1 , x2 , x3 ) Target sentence = (y1 , y2 , y3 ) HPMETUBOEBSE PN 1 (y1 ) = 0.80 PN 2 (y2 ) = 0.31 PN 3 (y3 ) = 0.20 Y Y ͕USPVCMFTPNFXPSE ͳΒɺ p0 = 0.50 FH
5SPVCMFTPNF8PSE%FpOJUJPO ⾣&YDFQUJPO$SJUFSJB ͱͷࠩͷᮢ gi (yi ) = max(PN i (yi
)) − PN i (yi ) 1SPCBCJMJUZ EJTUSJCVUJPO Source sentence = (x1 , x2 , x3 ) Target sentence = (y1 , y2 , y3 ) HPMETUBOEBSE g1 (y1 ) = 0.80 − 0.80 = 0.00 g2 (y2 ) = 0.35 − 0.31 = 0.04 g3 (y3 ) = 0.75 − 0.20 = 0.55 Y ͕USPVCMFTPNFXPSE ͳΒɺ g0 = 0.10 FH max(PN i (yi )) PN i (yi ) gi (yi ) > g0 (BQ$SJUFSJPO
5SPVCMFTPNF8PSE%FpOJUJPO ⾣&YDFQUJPO$SJUFSJB ग़ྗ֬ॱҐͷᮢ 1SPCBCJMJUZ EJTUSJCVUJPO Source sentence = (x1 ,
x2 , x3 ) Target sentence = (y1 , y2 , y3 ) HPMETUBOEBSE rank(y1 ) = 1 rank(y2 ) = 3 rank(y3 ) = 2 Y ͕USPVCMFTPNFXPSE ͳΒɺ rank0 = 2 FH rank(yi ) > rank0 3BOLJOH$SJUFSJPO
*OUFHSBUJOH$POUFYUVBM.FNPSZJOUP/.5 ⾣༁ॲཧͷྲྀΕ NFNPSZΑΓUSPVCMFTPNFXPSEΛநग़ DPOUFYUVBMTJNJMBSJUZΛܭࢉ NFNPSZQSFEJDUFEQSPCBCJMJUZͷܭࢉ ग़ྗ֬Λܭࢉ ᶃ ᶄ ᶅ
ᶆ
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, tn ) IJEEFOTUBUFPGFODPEFS pL(sm , tn ) MFYJDPOUSBOTMBUJPOQSPCBCJMJUZ
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k logpL k > E0 (E0 = 1.5)
3FTVMUT ⾣සޠ ᐆດੑͷ͋ΔޠΛؚΉจͰͷධՁ #-&6είΞͷൺֱ
3FTVMUT ⾣සޠ ᐆດੑͷ͋ΔޠΛؚΉจͰͷධՁ 5XPSEUSPVCMFTPNFXPSE &SSPS#BTFMJOFʹ͓͚Δؒҧͬͨग़ྗ 3FDUJGZఏҊख๏ಋೖʹΑΓमਖ਼Ͱ͖ͨ %FUFSJPఏҊख๏ಋೖʹΑΓ૿͑ͨؒҧ͍ͷ
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