跨语言语法网络结构对比，发现通用拓扑规律。
Topology of Syntax Networks across Languages
- 构建跨语言语法网络，用新方法识别节点社区
- 发现多语言共享的拓扑结构模式
- 适合语言学与复杂网络交叉研究者
语法将词语以特定方式相互连接，词间直接依赖构成语法连接，通常限于单个句子内。将多个句子中的连接聚合，形成语法网络。以往研究分析语法网络结构与属性，试图寻找具有相似网络特征的语言聚类或谱系。本文通过扩大语言数量和分析属性范围，检验此前研究结果。同时，采用新颖的网络分析方法[25]，对特定语言的语法网络进行深度剖析：将词（网络节点）聚类为拓扑社区，成员具有相似特征；系统研究每个社区的属性及其对应词性（部分词性）。进一步跨语言比较结果，旨在揭示语法网络中普遍存在的结构模式。
原文摘要 · Abstract (English)
Syntax connects words to each other in very specific ways. Two words are syntactically connected if they depend directly on each other. Syntactic connections usually happen within a sentence. Gathering all those connection across several sentences gives birth to syntax networks. Earlier studies in the field have analysed the structure and properties of syntax networks trying to find clusters/phylogenies of languages that share similar network features. The results obtained in those studies will be put to test in this thesis by increasing both the number of languages and the number of properties considered in the analysis. Besides that, language networks of particular languages will be inspected in depth by means of a novel network analysis [25]. Words (nodes of the network) will be clustered into topological communities whose members share similar features. The properties of each of these communities will be thoroughly studied along with the Part of Speech (grammatical class) of each word. Results across different languages will also be compared in an attempt to discover universally preserved structural patterns across syntax networks.
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