该文提出汉语的块依存语法,以谓词为核心,以组块为研究对象,在句内和句间寻找谓词所支配的组块,构建句群级别的句法分析框架。这一操作可提升叶子节点的语言单位,并针对汉语语义特点进行了分析方式和分析规则上的创新,能够较好地解决微观层次的逻辑结构知识,并为中观论元知识和宏观篇章知识打好基础。该文主要介绍了块依存语法理念、表示、分析方法及特点,并简要介绍了块依存树库的构建情况。截至2020年8月,树库规模为187万字符(4万复句、10万小句),其中包含67%新闻文本和32%百科文本。

This paper proposes a Chinese chunk-based dependency grammar (CCDG), which is focused on the chunks governed by the predicates within and between sentences. As an effort in establishing a syntactic analysis framework at the level of sentence group, the CCDG propose a novel idea to enlarge the linguistic granularity of leaf nodes. It can solve the logical structure knowledge at the micro level and pave a foundation for the meso argument knowledge and macro textual knowledge. This paper presents the concept, representation, analysis method and characteristics of CCDG, as well as the development of corresponding tree-bank. By August, 2020, the treebank was scaled up to 1.87 million tokens (including 40,000 complex sentences and 100,000 sub-sentences), consisting of 67% news texts and 32% encyclopedia texts.