Creating a descriptive grammar of a language is an indispensable step for
language documentation and preservation. However, at the same time it is a
tedious, time-consuming task. In this paper, we take steps towards automating
this process by devising an automated framework for extracting a first-pass
grammatical specification from raw text in a concise, human- and
machine-readable format. We focus on extracting rules describing agreement, a
morphosyntactic phenomenon at the core of the grammars of many of the world's
languages. We apply our framework to all languages included in the Universal
Dependencies project, with promising results. Using cross-lingual transfer,
even with no expert annotations in the language of interest, our framework
extracts a grammatical specification which is nearly equivalent to those
created with large amounts of gold-standard annotated data. We confirm this
finding with human expert evaluations of the rules that our framework produces,
which have an average accuracy of 78%. We release an interface demonstrating
the extracted rules at this https URL

本文以 Universal Dependencies 项目为例，通过开发一种自动化框架实现从原始文本中提取语法规范，并聚焦于提取描述协议的规则。我们使用跨语言转移的方法，即使在语言专家的注释不可获得的情况下，也能提取出几乎等同于大量黄金标准注释数据所创建的语法规范。