Segmenting Chinese Texts into Words for Semantic Network Analysis

Autor: James A. Danowski
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Journal of Contemporary Eastern Asia, Vol 16, Iss 2, Pp 110-144 (2017)
Druh dokumentu: article
ISSN: 2383-9449
DOI: 10.17477/jcea.2017.16.2.110
Popis: Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted. This paper describes how to perform Chinese word segmentation using the Stanford Natural Language Processing group’s Stanford Word Segmenter v. 3.8.0, released in June 2017.
Databáze: Directory of Open Access Journals