A Generation Method for Chinese Equipment Name Abbreviations Based On Rules

摘要：

　　In the field of CALS,Chinese equipment name abbreviations are widely used,and recognizing these abbreviations named entities has an important significance in the CALS knowledge discovery,but there are less research on it.A generation method based on rules is proposed for Chinese equipment name abbreviations.First,we analyses the naming rules and abbreviation characteristics of Chinese equipment name.Next,we establish an automatic generation model by the finite automaton.Then,we set the weight of mapping rules according to a series of factors.Finally,we export the average weight of the mapping rules set isnt less than the threshold to abbreviations dictionary for solving the problem of recognizing the abbreviations named entities.By referring to the experiment result from three types of equipment names data,its F rate reaches 93.88%.The results show that the generation method based on rules is an effective approach and get promising results in equipment named entities recognition.

关键词： NER Chinese equipment name abbreviations finite automate

作者: Jiwei Qin Liangli Ma Yanping Wang

作者单位: Department of computer Engineering,Naval university of Engineering,Wuhan,43003,China Unit 92815,Ningbo,315700,China

会议类型: 国际会议

会议名称: 2017年第2届联合国际信息技术、机械与电子工程国际会议(JIMEC2017)

会议地点: 重庆

会议语种:英文

页码: 1-5

在线出版日期: 2017-10-04（万方平台首次上网日期，不代表论文的发表时间）