Current MT systems, whatever translation method they at present employ, do not reach an optimum output on free text. Our hypothesis for the experiment reported in this paper is th...
In this paper, we describe a machine translation system called PalmTree which uses the "patternbased" approach as a fundamental framework. The pure pattern-based transla...
This paper describes a machine translation architecture that integrates the use el' examples for flexible, idiomatic translations with the use o1' linguistic rules for b...
Alexander Franz, Keiko Horiguchi, Lei Duan, Doris ...
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the...