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.

本文提出了一种自动创建低资源语言，特别是资源贫乏和濒危语言的大量新双语词典的方法，使用一个单一的输入双语词典生成目标语言的单词翻译，依赖于 Wordnets 和机器翻译器（MT）。

自动创建大量新的双语词典

Automatically Creating a Large Number of New Bilingual Dictionaries

This paper examines approaches to generate lexical resources for endangered
languages. Our algorithms construct bilingual dictionaries and multilingual
thesauruses using public Wordnets and a machine translator (MT). Since our work
relies on only one bilingual dictionary between an endangered language and an
"intermediate helper" language, it is applicable to languages that lack many
existing resources.

本文旨在探讨为濒危语言生成词汇资源的方法，通过使用公共词网和机器翻译器构建双语词典和多语言词库，奠定了一个基础，尤其适用于缺乏资源的语言。

为濒危语言创建词汇资源

Creating Lexical Resources for Endangered Languages

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.

通过使用公开的 Wordnets、机器翻译和单语种双语字典，我们提出了一种方法来为资源丰富和资源贫乏的语言生成 Wordnet 同义词集，这些方法适用于至少存在一种从英文翻译到该语言的双语词典的任何语言，是自动构建完整 Wordnets 的第一步。