Segmenting Chinese Texts into Words for Semantic Network Analysis
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...
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| Format: | Article |
| Language: | English |
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World Association for Triple Helix and Future Strategy Studies
2017-12-01
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| Series: | Journal of Contemporary Eastern Asia |
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| Online Access: | http://koreascience.or.kr/article/JAKO201706163144730.pdf |
| Summary: | 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. |
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| ISSN: | 2383-9449 |