Prediction and processing of natural language

Abstract

With the rapid increase in the computing power of electronic computers and the dramatic decrease in the cost of manufacturing, researchers are refocusing on the challenging research field of natural language processing (NLP). Therefore, in a natural language training development as the main line, from the following several aspects work: first of all, on the basis of preliminary training technical update route, this paper introduces the traditional natural language training in advance technology and training neural network prediction technology, and analyse the related technical features, comparison, generalize the development and trends of natural language processing technology; Secondly, this paper introduces the improved natural language processing models based on BERT from two aspects, and summarizes these models from the aspects of pre-training mechanism, advantages and disadvantages, and performance. Furthermore, the main application fields of NLP are introduced, and the current challenges and corresponding solutions of NLP are described. Finally, this paper summarizes the work and predict the future development direction of NLP.