OpenLogos machine translation: philosophy,model, resources and customization |
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Authors: | Anabela Barreiro Bernard Scott Walter Kasper Bernd Kiefer |
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Affiliation: | 1.CLUP,Porto,Portugal;2.Logos Institute,Tarpon Springs,USA;3.DFKI GmbH,Saarbrücken,Germany |
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Abstract: | This paper reviews the OpenLogos rule-based machine translation system, and describes its model architecture as an incremental
pipeline process. The paper also describes OpenLogos resources and their customization to specific application domains. One
of the key aspects of rule-based machine translation systems intelligence is the symbology employed by these systems in representing
natural language internally. The paper offers details about the OpenLogos semantico-syntactic abstract representation language
known as SAL. The paper also shows how OpenLogos has addressed classic problems of rule-based machine translation, such as
the cognitive complexity and ambiguity encountered in natural language processing, illustrating how SAL helps overcome them
in ways distinct from other existing rule-based machine translation systems. The paper illustrates how the intelligence inherent
in SAL contributes to translation quality, presenting examples of OpenLogos output of a kind that non-linguistic systems would
likely have difficulty emulating. The paper shows the unique manner in which OpenLogos applies the rulebase to the input stream
and the kind of results produced that are characteristic of the OpenLogos output. Finally, the paper deals with an important
advantage of rule-based machine translation systems, namely, the customization and adaption to application-specific needs with respect to their special terminology and transfer requirements. OpenLogos offers users a set of comfortable
customization tools that do not require special knowledge of the system internals. An overview of the possibilities that these
tools provide will be presented. |
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