14 citations · 34 across the 7 of their papers we have counts for
7 papers
Sentence Segmentation for Classical Chinese Based on LSTM with Radical Embedding
Xu Han, Hongsu Wang, Sanqian Zhang +2
In this paper, we develop a low than character feature embedding called radical embedding, and apply it on LSTM model for sentence segmentation of pre modern Chinese texts. The dat…
Character Distributions of Classical Chinese Literary Texts: Zipf's Law, Genres, and Epochs
Chao-Lin Liu, Shuhua Zhang, Yuanli Geng +2
We collect 14 representative corpora for major periods in Chinese history in this study. These corpora include poetic works produced in several dynasties, novels of the Ming and Qi…
Matrix and Graph Operations for Relationship Inference: An Illustration with the Kinship Inference in the China Biographical Database
Chao-Lin Liu, Hongsu Wang
Biographical databases contain diverse information about individuals. Person names, birth information, career, friends, family and special achievements are some possible items in t…
Color Aesthetics and Social Networks in Complete Tang Poems: Explorations and Discoveries
Chao-Lin Liu, Hongsu Wang, Wen-Huei Cheng +2
The Complete Tang Poems (CTP) is the most important source to study Tang poems. We look into CTP with computational tools from specific linguistic perspectives, including distribut…
Mining Local Gazetteers of Literary Chinese with CRF and Pattern based Methods for Biographical Information in Chinese History
Chao-Lin Liu, Chih-Kai Huang, Hongsu Wang +1
Person names and location names are essential building blocks for identifying events and social networks in historical documents that were written in literary Chinese. We take the…
Textual Analysis for Studying Chinese Historical Documents and Literary Novels
Chao-Lin Liu, Guan-Tao Jin, Hongsu Wang +5
We analyzed historical and literary documents in Chinese to gain insights into research issues, and overview our studies which utilized four different sources of text materials in…
Mining and discovering biographical information in Difangzhi with a language-model-based approach
Peter K. Bol, Chao-Lin Liu, Hongsu Wang
We present results of expanding the contents of the China Biographical Database by text mining historical local gazetteers, difangzhi. The goal of the database is to see how people…