A Fast Algorithm to Find Computer-aided Translation Tools View in Native XML Corpus Semantic Cache
Hao Xing, Lu Xu · 2023
In the era of big data and artificial intelligence, interdisciplinary integration is the main trend. Therefore, it is of great significance to integrate language service and translation teaching with information technology. It is necessary to find the view in corpus semantic cache in many applications. This paper analyzes the main fast algorithm problems for finding computer-aided translation tools view in XML corpus semantic cache. Moreover, it introduces the basic knowledge of native XML corpus system in detail, including XML document cache structure, basic definitions and XML document parsing methods. Furthermore, it focuses on the serialized XPath fast algorithm, and gives an idea of improving the longest view-based compensated finding after analyzing the advantages and disadvantages of the fast algorithm to find the computer-aided translation tools view in the semantic cache of the native XML corpus. The experimental results show that the method has high efficiency, high precision and wide application range, which has a good application prospect in language service enterprises and translation teaching and researching field. It finally aims to help the efficient improvement for data finding and optimize the usability of computer-aided translation tools in both language service industry and translation teaching field.