P98-1070 recognition results . 1 Introduction A spoken-language translation system requires the ability to
P98-1070 for application to a practical spoken-language translation system . The left-to-right mechanism
J06-4004 , the other two conditions are spoken-language translation conditions . More specifically
P98-1070 input . An utterance as input of a spoken-language translation system , is not always one well-formed
C96-2191 features are critical for success in spoken-language translation : 1 . Incremental processing
C96-2191 language . 2 Seven requirements for spoken-language translation The following new design features
P98-2141 processing scheme in incremental spoken-language translation . Additionally , in exploiting
C96-2191 paper addresses the problem of spoken-language translation and explains the method and its
C96-2191 proposed as a general technique for spoken-language translation . We have applied TDMT to two
C96-1070 closest to the input . multi-lingual spoken-language translation ( Fu - ruse , 1995 ) . While
C96-1070 TDMT ) for efficient and robust spoken-language translation ( Furuse , 1994a ; Furuse , 1994b
P98-1070 input-splitting method for robust spoken-language translation . The proposed method splits
C92-2097 performs efficient and robust spoken-language translation using various kinds of strategies
C96-2191 ` able ill practice . <title> Spoken-Language Translation Method Using Examples </title>
C96-1070 Thereibre , assuring efficiency in spoken-language translation is one of the most crucial tasks
C00-2134 1994 ) proposed an approach to spoken-language translation based on pattern matching on
P98-1070 proposed for efficient and robust spoken-language translation ( Fu - ruse , 1994 ; Furuse ,
C96-2191 ) translation for a practical spoken-language translation system . If instantaneous response
C94-1062 information-service ( NFIS ) domain for a spoken-language translation task \ -LSB- 8 \ -RSB- . The
P98-1070 or III-formed Input for Robust Spoken-language Translation </title> Osamu FURUSEt Setsuo
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