Semantic Similarity of Inverse Morpheme Words Based on Word Embedding

• Published in: Chinese Lexical Semantics Vol. 13249; pp. 452 - 463
• Main Authors: Zhou, Jiaomei, Liu, Zhiying
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2022; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Inverse morpheme words; Semantic similarity; Word embedding
• ISBN: 9783031067020; 3031067029
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-031-06703-7_35

Inverse morpheme words are compound words that have the same morphemes but are arranged in the opposite order. The majority of related works on the subject have focused on a narrow investigation of dictionary definitions, with few studies based on large-scale corpora. Based on the People’s Daily corpus (1946–2017), we add and delete words from a base list and then obtained a word list consisting of 668 pairs of inverse morpheme words. Furthermore, we also calculated cosine similarity by using word embedding based on the distributed representation and discovered that 76% of inverse morpheme words have a cosine similarity of 0.4 or higher, and that word formation, part-of-speech, and frequency all have an impact on semantic similarity.