Li Yixuan


Character-level Dependency Annotation of Chinese
Li Yixuan
Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)

In this paper, we propose a new model for annotating dependency relations at the Mandarin character level with the aim of building treebanks to cope with the unsatisfactory performance of existing word segmentation and syntactic analysis models in specific scientific domains, such as Chinese patent texts. The result is a treebank of 100 sentences annotated according to our scheme, which also serves as a training corpus that facilitates the subsequent development of a joint word segmenter and dependency analyzer that enables downstream tasks in Chinese to be separated from the non-standardized pre-processing step of word segmentation.