论文标题
通过大块改善跨语性模型转移
Improving cross-lingual model transfer by chunking
论文作者
论文摘要
我们提出了一种浅层解析器的跨语性模型转移方法，以便更有效地解决源语言和目标语言之间的句法差异。在这项工作中，我们假设句子中的块或短语是转移单位，以解决由于单词在短语中的订购和句子中单词在句子中的顺序排序而产生的源语言和目标语言之间的句法差异。
We present a shallow parser guided cross-lingual model transfer approach in order to address the syntactic differences between source and target languages more effectively. In this work, we assume the chunks or phrases in a sentence as transfer units in order to address the syntactic differences between the source and target languages arising due to the differences in ordering of words in the phrases and the ordering of phrases in a sentence separately.
