Natural language processing.
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Hedgehog durian Please draw an artistic picture combining the elements of hedgehog and durian: 1.38w. Internal magazine and public relations draftPlease help me write a corporate internal magazine and public relations draft with the theme of innovation driving intelligent future: 8076. Underwater starry skyPlease draw the scene of the underwater starry sky: 1.23w. Amway grows grass. As a food blogger, please write a grass note on your feelings and experience of visiting the restaurant in Chongqing: 1.84w. The proposal report is based on my research direction: large model and traditional NLP help me output a proposal report: 1.63w. According to my research direction: large models and traditional NLP help me output a thesis proposal report, including research background, current status, and research direction proposal report.
First, research background, natural language processing. NLP is an interdisciplinary discipline in computer science, artificial intelligence, linguistics and other fields, aiming to enable computers to understand and process natural language. In recent years, with the development of deep learning technology, large-scale neural network models have become the mainstream methods in the field of natural language processing. These models typically require a lot of training, data, and computing resources, but achieve impressive results on certain tasks, such as machine translation, text classification, and question answering systems.
At the same time, traditional natural language processing methods such as rule engines, finite state automata, decision trees, etc., also perform well in some tasks, such as text error correction, syntax analysis, information extraction, etc. However, these traditional methods may have some limitations in some tasks, such as the need to build rules by hand and the inability to process context information.
This research will explore the application and comparison of large-scale neural network models and traditional natural language processing methods in natural language processing tasks, aiming to provide new ideas and methods for the research and application of natural language processing.
Second, the current situation. In recent years, with continuous development and optimization, large-scale neural network models have become the mainstream methods in the field of natural language processing. These models.