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With the continuous development of artificial intelligence technology, remarkable results have been achieved in the fields of machine learning and natural language processing. These technologies have brought new methods and ideas to oral history research. For example, using natural language processing technology to analyze and organize a large amount of oral materials can more efficiently mine the information and value contained therein.

At the same time, academic research also plays an important role in this process. Rigorous academic methods and theories can guide the direction of oral history research and ensure the scientificity and reliability of the research. Academic exchanges promote the collision of ideas among different scholars and promote the innovation and development of oral history research.

Driven by both technology and scholarship, oral history research has not only been continuously innovative in methods, but has also been greatly expanded in breadth and depth. However, we cannot ignore the problems that exist. For example, the application of technology may lead to an over-interpretation of original materials or neglect of aspects such as humanistic care.

At this point, we can think from a unique perspective - the inspiration brought by the application of technology practices in other fields. Take software development as an example. Although software development and oral history research seem to be unrelated, they are similar in some aspects.

In software development, especially in areas like Java development, the acceptance and completion of tasks need to follow a series of specifications and processes. Developers need to conduct in-depth analysis and understanding of requirements, formulate reasonable development plans, select appropriate technical frameworks and tools, and then write, test and optimize code. In this process, emphasis is placed on systematicity, logic and standardization.

This systematic and standardized way of thinking is also of great reference significance in oral history research. Oral history research also needs to have clear research goals and plans, be organized in the collection and organization of materials, and be scientific and reasonable in the selection of research methods. At the same time, continuous reflection and adjustment should be carried out during the research process to ensure that the direction and results of the research are in line with expectations.

In addition, teamwork and communication are also very important in software development. A project often requires multiple developers to work together to complete it. They need to communicate in a timely and effective manner to share ideas and experiences and solve problems. This spirit of teamwork is also indispensable in oral history research. Communication and cooperation between different scholars and researchers can pool their wisdom and jointly promote the progress of research.

Moreover, the concepts of quality control and risk management in software development can also be applied to oral history research. In software development, the code must be rigorously tested and reviewed to ensure the quality and stability of the software. At the same time, the risks that may arise in the project must be evaluated and managed, and countermeasures must be formulated in advance. In oral history research, it is also necessary to control the quality of the research process and results, and to have a full understanding and preparation for possible problems and risks.

In summary, although software development such as Java development and oral history research belong to different fields, there are many areas where we can learn from each other in terms of thinking, working methods, and teamwork. Through cross-domain thinking and experience sharing, we can inject new vitality into oral history research and promote its continuous development and improvement in the era of artificial intelligence.

In short, in the era of artificial intelligence, we must make full use of the advantages of technology, combine it with academic rigor, and continuously explore and innovate the methods and paths of oral history research, so as to make greater contributions to the inheritance and promotion of human history and culture.