论文标题
自动创建大量新的双语词典
Automatically Creating a Large Number of New Bilingual Dictionaries
论文作者
论文摘要
本文提出的方法是通过单个输入双语词典自动为低资源语言（尤其是资源贫乏的语言）创建大量新的双语词典。我们的算法使用可用的WordNets和Machine Translator（MT）生成了源语言的单词翻译为丰富的目标语言。由于我们的方法仅依赖一个输入字典，可用的WordNet和MT，因此只要两种语言之一是英语，它们都适用于任何双语词典，或者具有链接到Princeton WordNet的WordNet。从5个可用的双语词典开始，我们创建了48个新的双语词典。其中，流行的MTS：Google和Bing不支持30对语言。
This paper proposes approaches to automatically create a large number of new bilingual dictionaries for low-resource languages, especially resource-poor and endangered languages, from a single input bilingual dictionary. Our algorithms produce translations of words in a source language to plentiful target languages using available Wordnets and a machine translator (MT). Since our approaches rely on just one input dictionary, available Wordnets and an MT, they are applicable to any bilingual dictionary as long as one of the two languages is English or has a Wordnet linked to the Princeton Wordnet. Starting with 5 available bilingual dictionaries, we create 48 new bilingual dictionaries. Of these, 30 pairs of languages are not supported by the popular MTs: Google and Bing.
