Phenomenon of Machine Mother Tongue Culture Transfer in English under the Internet with Pattern Recognition Models

Abstract

In our daily lives, people encounter different problems in pattern recognition applications, such as fingerprint unlocking, faoe recognition, DNA detection, mother tongue culture transfer. The essenoe of pattern recognition is to match the known sample with the given pattern by comparing the known sample with the given pattern, so as to achieve the purpose of classification. In fuzzy sets, membership degree is often used to describe samples and patterns, and use fuzzy measure to calculate the similarity between samples and patterns, so that the overall characteristics of patterns can be well reflected, and samples are allowed to have a certain degree of interference. Sometimes, it is required to deduce the corresponding conclusions from the existing rule base through fuzzy reasoning algorithm, and sort them to get the classification results. Mother tongue transfer is an inevitable problem in English translation, which has a great influence on foreign language learning and translation. Language transfer usually includes four forms: overuse, avoidance, convenience and misuse, which can be divided into positive transfer and negative transfer. Due to the obvious differences between Chinese culture and English culture, negative transfer of mother tongue cannot be avoided, which increases the difficulty of English translation. This paper studies the pattern recognition based culture transfer of machine native language in the network environment.