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also provided to help user 's
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. This software is currently
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dictionary access function , making
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easier . In addition , the user
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and type . The data flow of the
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is depicted in Figure 2 . 6.2
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underline ( b ) . Just as the
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can be freely changed , the area
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level . 5.2 Translation Phase 2 :
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module After establishing the
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translation of each token ( Phase 2 --
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) . PRESEMT adopts a phrase-based
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. At the same time as initial
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, the system predicts an appropriate
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original sentence ( a ) is entered ,
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and translation region selection
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other auxiliary tokens . Though
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implements several tasks simultaneously
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easyto-use interactive operations for
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, inflection selection and CD-ROM
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bilingual corpus . The second phase ,
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, relies on models extracted
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sentence is translated . ( a )
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and translation area are shown
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this problem , we extended the
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interface so that translation
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Resolving translation ambiguities
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receives as input the output
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according to the TL , and the
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module where translation disambiguation
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bilingual dictionary . Phase 2 (
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) uses the monolingual corpus
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selection by the same interface as
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. Translation equivalent selection
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Έλληνας > ) . 2.3
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This second translation step
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translation equivalent selection .
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enables the user to directly
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area , as in figure 1 ( b ) .
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for all content words , and the
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