Compound Noun Decomposition by using Syllable-based Embedding and Deep Learning

음절 단위 임베딩과 딥러닝 기법을 이용한 복합명사 분해

  • 이현영 (국민대학교 컴퓨터공학과) ;
  • 강승식 (국민대학교 소프트웨어학부)
  • Received : 2018.10.10
  • Accepted : 2019.02.17
  • Published : 2019.06.30


Traditional compound noun decomposition algorithms often face challenges of decomposing compound nouns into separated nouns when unregistered unit noun is included. It is very difficult for those traditional approach to handle such issues because it is impossible to register all existing unit nouns into the dictionary such as proper nouns, coined words, and foreign words in advance. In this paper, in order to solve this problem, compound noun decomposition problem is defined as tag sequence labeling problem and compound noun decomposition method to use syllable unit embedding and deep learning technique is proposed. To recognize unregistered unit nouns without constructing unit noun dictionary, compound nouns are decomposed into unit nouns by using LSTM and linear-chain CRF expressing each syllable that constitutes a compound noun in the continuous vector space.


Supported by : 한국연구재단


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