We release Galactic Dependencies 1.0---a large set of synthetic languages not
found on Earth, but annotated in Universal Dependencies format. This new
resource aims to provide training and development data for NLP methods that aim
to adapt to unfamiliar languages. Each synthetic treebank is produced from a
real treebank by stochastically permuting the dependents of nouns and/or verbs
to match the word order of other real languages. We discuss the usefulness,
realism, parsability, perplexity, and diversity of the synthetic languages. As
a simple demonstration of the use of Galactic Dependencies, we consider
single-source transfer, which attempts to parse a real target language using a
parser trained on a "nearby" source language. We find that including synthetic
source languages somewhat increases the diversity of the source pool, which
significantly improves results for most target languages.

我们发布了 Galactic Dependencies 1.0，这是一个大型的合成语言集，旨在为旨在适应不熟悉的语言的 NLP 方法提供训练和开发数据。这些合成树库是通过随机排列名词和 / 或动词的从属语以匹配其他真实语言的词序从真实树库产生的。我们在论文中讨论了合成语言的有用性，逼真度，可解析性，困惑度和多样性，并进行了使用 Galactic Dependencies 的简单演示。我们发现，包括合成源语言会在一定程度上增加源池的多样性，这显著提高了大多数目标语言的结果。