Fast Retrieval Method of English Translation Corpus Based on Top-k Query Algorithm

The fast retrieval method of English translation corpus based on Top-k query algorithm is a technology to retrieve the most commonly used words in English translation corpus. The top k query algorithm uses the first k most commonly used words to retrieve all other words in the text, and then returns them to the user. This technique uses it to find out which word in the Chinese translation corpus is more commonly used than other words. The fast retrieval method of English translation corpus is a kind of machine translation, which uses statistical technology to obtain high-quality results at low computational cost. It is the most commonly used method to translate text into another language, and is widely used in many applications, such as automatic speech recognition (ASR) system, web search engine and so on. Compared with other methods, the main advantage of this technology is that it can process very large data sets without significant quality loss. Since then, this method has been widely used and studied by many researchers in various fields such as computer science, linguistics, information retrieval and natural language processing.