Linguistic Computational Models for Modeling Complex Linguistic Information
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.