Abstract
There are some problems on traditional machine translation and these problems have affected its application. The combination of ontology and machine translation can bring about change to machine translation. Machine translation based on the reusing of domain ontology can effectively solve the problems that exist in traditional machine translation. The domain ontology knowledge base of Tibetan folk culture is tried to be built and the Sino-Tibetan machine translation system based on the reusing of Tibetan folk culture domain ontology is tried to be constructed in our research. In this machine translation system, ambiguity problem which exits in traditional machine translation can be solved and the domain ontology can be constructed automatically. By that intelligent machine translation between Tibetan and Chinese can be achieved.
Highlights
There are some problems on traditional machine translation and these problems have affected its application
Our research showed that if the KDD rules planned to add to ontology do not conflict with existing concepts in the ontology, the KDD rules mapping to ontology rules do not need the inference engine and this is help achieving automatically expansion of ontology
Ambiguity problem is one of the most difficult to deal with problems of machine translation, so we will resolve this problem by ontology
Summary
Build a ontology library on the common knowledge of the world is a time-consuming and labor-intensive project, it need us spend many years. This kind of ontology brings about ambiguity which is difficult to overcome. Our chosen field is Tibetan folk culture field, including clothing, funeral customs, accommodation, catering and so on. All of these corpuses derived from some Tibetan website, http://www.tibetinfor.com/, http://www.bodrigs. Selecting those concepts corresponding objects exist independently from the concepts established on step 1 and express them by term. Users will give information and feedback timely to the system and this will help the ontology construction engineering staff make the appropriate modifications and adjustment of the ontology, enriching domain ontology library
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