New methods of Chinese language and literature research in the era of artificial intelligence are as follows:

1. Interdisciplinary research method is an important new method. With the continuous development of artificial intelligence technology, the cross-fertilization of language and literature with other disciplines is becoming more and more extensive. Therefore, we can make use of the theories and methods of other disciplines, such as computer science, psychology, sociology and so on, to carry out research on Chinese language and literature from multiple perspectives and at multiple levels.

2. Comparative research method is also an important new method. With the acceleration of globalization and cultural exchanges and integration, comparative study between Chinese language and literature and those of other countries and regions in the world is becoming more and more important. Through comparative research, we can discover the ****ness and differences between different cultures and gain a deeper understanding of the characteristics and values of Chinese language and literature.

3. Empirical research method is also an important new method. With the application of big data and artificial intelligence technology, we can utilize a large amount of empirical data and experimental results to support the study of Chinese language and literature.

Relationship between Artificial Intelligence and Linguistics

1. Linguistics provides a theoretical foundation for natural language processing of artificial intelligence. Natural language processing is an important field of artificial intelligence, the goal of which is to enable computers to understand and generate human language. Linguistics provides theoretical support for natural language processing in terms of language modeling, syntactic analysis, semantic understanding, etc., so that computers can better understand and generate natural language.

2. Artificial intelligence also provides new methods and tools for linguistic research. Traditional linguistic research mainly relies on manual analysis and statistics, while artificial intelligence technology provides more efficient and accurate methods for linguistic research. For example, using machine learning and deep learning technologies, large-scale corpora can be automatically analyzed and processed to discover the laws and characteristics of language.

3. On the one hand, linguistics can provide more in-depth theoretical support for the development of AI, helping AI to better understand and generate natural language; on the other hand, AI can also provide more efficient and accurate methods and tools for linguistic research, and promote the progress and development of linguistic research.