We describe a cross-lingual transfer method for dependency parsing that takes
into account the problem of word order differences between source and target
languages. Our model only relies on the Bible, a considerably smaller parallel
data than the commonly used parallel data in transfer methods. We use the
concatenation of projected trees from the Bible corpus, and the gold-standard
treebanks in multiple source languages along with cross-lingual word
representations. We demonstrate that reordering the source treebanks before
training on them for a target language improves the accuracy of languages
outside the European language family. Our experiments on 68 treebanks (38
languages) in the Universal Dependencies corpus achieve a high accuracy for all
languages. Among them, our experiments on 16 treebanks of 12 non-European
languages achieve an average UAS absolute improvement of 3.3% over a
state-of-the-art method.

本文针对源语言和目标语言单词顺序的不同问题，提出了一种基于 “圣经” 语料库和跨语言词表示的依存句法跨语言迁移方法。该方法在训练前改变源语言语料的顺序，使得在欧洲语系以外的语言中达到更高的精度。在多语言数据集上，该方法在 68 个树库（38 种语言）的实验中表现良好，并在 12 种非欧洲语言的 16 个树库中实现了 3.3％的平均 UAS 绝对精度提高。

无监督源语言重排序的低资源句法迁移

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

This annotation style guide was created by and for the Blinker project at the
University of Pennsylvania. The Blinker project was so named after the
``bilingual linker'' GUI, which was created to enable bilingual annotators to
``link'' word tokens that are mutual translations in parallel texts. The
parallel text chosen for this project was the Bible, because it is probably the
easiest text to obtain in electronic form in multiple languages. The languages
involved were English and French, because, of the languages with which the
project co-ordinator was familiar, these were the two for which a sufficient
number of annotators was likely to be found.

本文介绍了 Blinker 项目团队在 Bible 平行语料库上对英法双语注释的样式指南。