The invention relates to a Vietnamese dependency
syntax analysis method and
system based on multiple annotators and
electronic equipment, and belongs to the field of
natural language processing. According to the method, the parameters of the XLM RoBERTa model are finely adjusted by using the unlabeled data. Then training an initial Vietnamese dependency syntactic analysis model by using a UD tree
library, inputting sentences into the model for analysis, and generating
pseudo data containing
noise; and inputting the
pseudo data into a pre-designed prompt template, carrying out secondary
annotation by utilizing a large
language model DeepSeek, gradually correcting
noise data through prompt learning, and outputting a high-quality
annotation result. And finally, taking the
pseudo data subjected to secondary
annotation as an additional training corpus, combining with the original annotation data, and training a new Vietnam statement method analysis model. According to the method, the performance of the model in Vietnamese dependency
syntax analysis tasks is remarkably improved by introducing pseudo data enhancement and a multi-tagger collaborative optimization mechanism.