N07-1061 |
Pivot languages have been used in
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rule-based machine translation
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systems . Boitet ( 1988 ) discusses
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W02-1605 |
rulebased machine translation . Each
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rule-based machine translation
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has its own mythology in translation
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P91-1024 |
knowledge . This framework is called
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Rule-Based Machine Translation
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( RBMT ) . It is difficult to
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C04-1005 |
translation candidates produced by the
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rule-based machine translation
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system . In the following sections
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N09-2055 |
RBMT , SMT , and APE systems .
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Rule-based machine translation
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. RBMT was the first approach
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C04-1005 |
results and apply them back to our
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rule-based machine translation
|
system . Third , we will further
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P13-3025 |
statistical post-editing ( SPE ) of
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rule-based machine translation
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outputs . To perform the post
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C04-1005 |
bilingual dictionary instead of the
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rule-based machine translation
|
system to improve statistical
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C04-1005 |
Statistical Word Alignment with a
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Rule-Based Machine Translation
|
System </title> WU Hua WANG Haifeng
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W02-1605 |
dependency . To improve quality of a
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rule-based machine translation
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, we have to modify/add some
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E09-1054 |
analyzer components developed for a
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rule-based machine translation
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( RBMT ) system are modified
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C04-1005 |
and translation information in a
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rule-based machine translation
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system . It includes three steps
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P09-1018 |
this data gap , we make use of
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rule-based machine translation
|
( RBMT ) systems to translate
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C04-1005 |
dictionary , the advantages of a
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rule-based machine translation
|
system lie in two aspects : (
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C96-2178 |
out on machine translation . The
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rule-based machine translation
|
( John and Harold , 1992 ) could
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P08-1011 |
compared our method with a wellknown
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rule-based machine translation
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system -- SYSTRAN3 . We translated
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C02-1158 |
Chain-link-type Learning . 1 Introduction
|
Rule-Based Machine Translation
|
( MT ) ( Hutchins and Somers
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A97-2006 |
problems has been rec - ognized .
|
Rule-based machine translation
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( Hutchins and Somers , 1992
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S01-1009 |
target word . This allows existing
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rule-based machine translation
|
( MT ) systems to participate
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C92-2107 |
preach to resolving problems in
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rule-based machine translation
|
systems , such as difficulties
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