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Linguistic Computational Models for Modeling Complex Linguistic Information

  • Zhen Zhang,
  • Wenyu Yu,
  • Zhuolin Li

摘要

This chapter mainly introduces some linguistic computational models for modeling complex linguistic information. To be specific, we first review the linguistic computational models to fuse multi-granular balanced and unbalanced linguistic information. Followed by this, we discuss the transformation between different types of unbalanced linguistic information and a balanced linguistic distribution. Afterwards, we present a linguistic computational model to fuse multi-granular linguistic distributions. Finally, we discuss how to represent a linguistic distribution by using a hesitant linguistic distribution.