The Design and Implementation of Corpus Labeling System for Terminology Identification in Fishery Field

Term recognition is the basic work in the field of natural fishery treatment. Now, the term recognition needs to be realized by machine learning algorithm, which requires a large number of corpus to train the model of the algorithm. At present, most corpus labeling needs manual labeling method, and the quality and speed of corpus labeling are problems to be solved in this field. Therefore, it is urgent to have a platform to assist in the evaluation of corpus labeling quality, so as to make the article labeling more efficient and accurate.