KNE: An Automatic Dictionary Expansion Method Using Use-cases for Morphological Analysis

  • Nam, Chung-Hyeon ;
  • Jang, Kyung-Sik
  • Received : 2019.08.08
  • Accepted : 2019.09.09
  • Published : 2019.09.30


Morphological analysis is used for searching sentences and understanding context. As most morpheme analysis methods are based on predefined dictionaries, the problem of a target word not being registered in the given morpheme dictionary, the so-called unregistered word problem, can be a major cause of reduced performance. The current practical solution of such unregistered word problem is to add them by hand-write into the given dictionary. This method is a limitation that restricts the scalability and expandability of dictionaries. In order to overcome this limitation, we propose a novel method to automatically expand a dictionary by means of use-case analysis, which checks the validity of the unregistered word by exploring the use-cases through web crawling. The results show that the proposed method is a feasible one in terms of the accuracy of the validation process, the expandability of the dictionary and, after registration, the fast extraction time of morphemes.


Dictionary expansion;Natural language processing;Unknown word detection;Use-case analysis


Supported by : KOREATECH