Construction of Mongolian Near-synonymous Compound Qualitative Adjective Sets  

作　　者：Meirong Bao Qinggeletu De 

机构地区：[1]College of Mongolian Studies,Inner Mongolia Normal University,Hohht 010022,China [2]Inner Mongolia Normal University Library,Hohht 010022,China

出　　处：《Data Intelligence》2025年第1期221-236,共16页数据智能(英文)

基　　金：supported by the Doctoral Discipline Innovation Project of the Inner Mongolia Autonomous Region(No.B20231051Z).

摘　　要：The purpose of this paper is to construct a dataset of Mongolian near-synonymous compound qualitative adjectives to improve semantic analysis and develop semantic networks in the Mongolian language. By analyzing the characteristics of Mongolian compound adjectives, this paper examines the current challenge in the study of synonyms. In this paper, we use three methods based on dictionaries, word embedding, and pre-trained language models and successfully construct 76 near-sense sets containing 450 conjunctive adjectives. The experiments demonstrate that the dictionary-based method is more accurate but needs better recall. The word embedding-based method can discover new near-synonyms but is limited by data quality. The pre-trained language model method underperforms when dealing with complex contexts. Future work will expand dictionary resources, optimize matching rules, improve data quality, and explore alternative models to build a more comprehensive Mongolian near-synonym resource.

关 键 词：Qualitative compound adjectives Mongolian near-synonymous compound adjectives Semantic analysis Word embedding Pre-trained language models 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]