Application of task processing system based on wireless sensor network in English writing intelligent assistance platform

Abstract

With the widespread use of 32-bit embedded task processing systems, embedded systems are used in various fields. Traditional software development is gradually being replaced by development methods based on embedded operating systems. The built-in processing system inherits the entire operating system and retains its core components, including thread synchronization and exclusive access to individual resources. However, embedded system resources are relatively limited, and operating requirements are more complex and flexible, which makes the development of embedded operating systems more complicated and difficult than general PC systems. The corpus as the basic intelligent corpus is the research capital used by scientists to study language, and it is also an important part of English writing teaching. In fact, after European linguists represented by Jeffrey Ritchie proposed the application of smart corpus to the teaching of English writing, smart corpus entered the field of view of scientists. This means that smart corpus will become an indispensable part of linguistics. This research method expands the research method of English writing, covering two main aspects: speech output and language error analysis. The application of this research method to the teaching system of English writing is mainly reflected in “language error analysis”. This article discusses corpus-based English writing. In addition, in order to enrich the application influence of the English teaching management system, the system discussed in this article aims at the optimization of the teaching system and has designed more useful functions (such as English broadcasting, personal center users, system settings, etc.), so that students can learn more. It is easy to record their English learning status and enrich the content of English courses.