论文标题
自动构建WordNet合成器
Automatically constructing Wordnet synsets
论文作者
论文摘要
手动构建WordNet是一项艰巨的任务，需要多年的专家时间。作为自动构建完整WordNet的第一步，我们提出了使用公开可用的WordNet，机器翻译器和/或单语言词典来生成有关资源丰富和资源贫乏语言的WordNet Synset的方法。我们的算法将现有WordNet的合成器转换为目标语言t，然后在翻译候选者上应用排名方法，以在T中找到最佳的翻译。我们的方法适用于至少具有至少一个现有双语词典从英语翻译到它的语言。
Manually constructing a Wordnet is a difficult task, needing years of experts' time. As a first step to automatically construct full Wordnets, we propose approaches to generate Wordnet synsets for languages both resource-rich and resource-poor, using publicly available Wordnets, a machine translator and/or a single bilingual dictionary. Our algorithms translate synsets of existing Wordnets to a target language T, then apply a ranking method on the translation candidates to find best translations in T. Our approaches are applicable to any language which has at least one existing bilingual dictionary translating from English to it.
