[1]闻永毅,王治梅,杨婷.中医文献语料库自动分词中的新词发现研究[J].西部中医药,2018,31(09):71-74.
　WEN Yongyi,WANG Zhimei,YANG Ting.Study on Lexicon Updating in Automatic Word Segmentation of Chinese Medical Literature Corpus[J].Western Journal of Traditional Chinese Medicine,2018,31(09):71-74.
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中医文献语料库自动分词中的新词发现研究()
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
31
期数:
2018年09期
页码:
71-74
栏目:
出版日期:
2018-09-15

文章信息/Info

Title:
Study on Lexicon Updating in Automatic Word Segmentation of Chinese Medical Literature Corpus
文章编号:
1004-6852(2018)09-0071-04
作者:
闻永毅，王治梅，杨婷
陕西中医药大学外语学院，陕西 西安 712046
Author(s):
WEN Yongyi, WANG Zhimei, YANG Ting
School of Foreign Languages, Shaanxi University of Chinese Medicine, Xianyang 712046, China
关键词:
中医; 语料库; 新词发现; 人名; 语境
Keywords:
Chinese medicine;  corpus;  lexicon updating;  name;  context
分类号:
R221
文献标志码:
A
摘要:
目的：运用中医古汉语自动分词工具发现中医古文献中的新词。方法：把人名前后语境特征纳入中医古文献的人名自动处理过程，以语言学、中医学知识主导程序设计。结果：人名后语境要素能够显著提高中医古文献中人名的分词准确率。结论：如果能够把前后语境表、姓氏表、停字表中的要素进一步优化，使其中的项目能够保持较为稳定的状态，那么，这种方法就有可能应用到整个中医古文献的分词中。
Abstract:
Objective: To survey the neologism in ancient TCM literature by the tool of automatic word segmentation. Methods: The characteristics of context before and after the names were brought into automatic processing course of name in ancient TCM literature, programming was guided by linguistics and TCM knowledge.Results: Contextual elements after the name could notably raise word segmentation accuracy of name in ancient TCM literature.Conclusion: If we could further optimize the elements before and after the context table, surname table and stop-word list, and keep the items in the stable state, the method might be applied to word segmentation of the whole ancient TCM literature.

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备注/Memo

备注/Memo:
收稿日期：2018-01-10 *基金项目：2016年度国家社会科学基金项目(编号16XYY011)。 作者简介：闻永毅(1966—)，男，副教授。研究方向：中医文献语料库研究、计算语言学。
更新日期/Last Update: 2018-09-15