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