中文摘要：

语义词典是人工智能、语义网与知识工程等研究领域的热点,它可以支持机器学习、自然语义理解、数据挖掘及机器翻译等技术。文章在藏语独特的文法理论研究基础上,利用对比英文和藏文词之间的语义关系、构建双语大型数据库和制定映射过程中词汇空缺等方法,构建了基于半自动匹配的藏文语义词典。本语义词典既兼容了国际通用的英文WordNet,又保留了藏语的特点,为藏文信息处理提供了重要的数据资源。

英文摘要：

Semantic dictionary is a hot research topic in the areas of artificial intelligence, semantic web and ofknowledge engineering. Semantic dictionary can support machine learning, natural semantic understanding, datamining, machine translation and other techniques. Previously established semantic dictionaries such as EnglishWordNet, HowNet, and CCD are developed artificially. Thus, in order to save human power and material resourc-es, in this paper, a Tibetan semantic dictionary was constructed following traditional Tibetan grammar rulesbased on semi-automatic matching method,comparison of the semantic relation between English and Tibetanwords, classifying semantic categories, and developing lexical gap strategy in mapping. This semantic dictionaryis not only compatible with English WordNet, but also retains the characteristics of Tibetan language and pro-vides important data resources for Tibetan information process.