A94-1016 Nirenburg 1 INTRODUCTION Current MT systems , whatever translation method
A00-1004 will compare it with two existing MT systems . Both systems were tested in
A94-1016 - ture . Since the individual MT systems operate completely independently
A00-2026 Langkilde and Knight , 1998 ) . The MT systems of ( Berger et al. , 1996 ) learn
A97-1048 to judge the quality of current MT systems , but they may need help from
A00-1004 with the same quality produced by MT systems . <title> PartsID : A Dialogue-Based
A94-1016 uses output from a variety of MT systems working on the same text . In
A00-2026 comparison suggests that statistical MT systems could also generate text from
A97-1048 interactive support for conventional MT systems does n't seem suitable for these
A00-1004 translation model . 4.2 Comparison With MT Systems One advantage of a parallel text-based
A94-1007 many possible structures that MT systems can not select the correct one
A94-1016 best results from a variety of MT systems working simultaneously on the
A94-1043 machine acceptable sentences , MT systems for bilingual and monolingual
A94-1007 many possible structures that MT systems can not select the correct one
A94-1007 possible structures are produced that MT systems can not select the correct one
A83-1028 spectrum -- around 90 % -- for MT systems that vary remarkably v.r.t. the
A94-1036 memory systems cost a fraction of MT systems ) or they are simply inappropriate
A97-1047 To avoid these problems , the MT systems developed recently generally
A83-1026 design . In large general purpose MT systems , it is necessary to assume that
A00-1002 into the development of various MT systems have been wasted and have not
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