This article argues that, unlike conventional bilingual knowledge sources that are underpinned by the principle of filtering out a limited number of representative equivalents, transfer dictionaries that are derived from computer-assisted parallel text analysis can bring both the human and the mechanized translator a stage nearer the elusive ideal of text-insertable translation equivalents.