WITHDRAWN: Analysis of Text Feature of English Corpus with Dynamic Adaptive Recommendation Algorithm Fused with Multiple Data Source English Language

Abstract

Abstract English corpus is one of the basic components of any language. English text of the language in the bilingual Corpus, the English and the sentence, is a collection of the original text material. Corpus processing the text or text of a different language from the knowledge languages combine dynamic adaptive computing and language. Dynamic adaptation recommended text can find the corresponding source English with the help of language statements and text. Unfortunately, good writing is mainly because some of the English Corpus and inadequate Auto text function in progress are due to have been obtained. The recommendation system, low recommendation accuracy is obtained, ignoring the importance of the dynamic fusion of data sources and algorithms. A single data source is based on a single recommendation algorithm and simple addition fusion. The main problem is that English sentences' study is that it did not play an important role. This article's function process is fluent in English and requires a person who is a very time-consuming process. The prediction method uses a field-programmable dynamic adaptive recommendation algorithm to develop a Recurrent Neural Network (RNN) algorithm to classify a plurality of data in the source language of the English Corpus of automatic sentence text system. Job is to build the amount of cooperation in various fields and good quality from the English and the corpus sentence. The best text and sentences are analyzed by the proposed system, excellent quality of multiple data sources, and English.