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 isn't 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.