Semantic Tagging Algorithm for Tibetan La Case Function Words Oriented to Classification of La Case
Mabao Ban, Jiecairang Duo, Rui Zhang, Maojia Yang, Rangjia Cai · 2023
Automatic classification of Tibetan La case () is a challenging and significant task in Tibetan natural language processing. Compared with other short text classification tasks, the automatic classification of La case depend more on the semantic information of context and function words of La case. Based on the definition about La case classification task, this paper designs a semantic labeling algorithm for Tibetan La case function words by analyzing their usage and semantic features. When training La case classification model, calling this algorithm can integrate the semantic information about La case function words, thus increasing the diversity of input features and enriching the semantic information of embedded vectors. Experiments on eight commonly used short text classification models show that the classification accuracy (ACC) after fusing the semantic information on La case function words is improved by 2.1 percentage points on average, which verifies the effectiveness and universality of the algorithm.