Searching and learning english translation long text information based on heterogeneous multiprocessors and data mining

摘要

Cooperation with the entire language information retrieval aims to develop intelligent models that use noncompliant and English. It has been constructed to construct the translation model extraction of similar Source Language Sentences Extraction (SLSE). The SLSE, by creating a new pipeline of SLSE through the establishment of the network described above, the first bilingual dictionary of the model of training data, including the Deep Neural Network (DNN) that has been proposed, because it is often in such, it is building because it plays a very important role in the model, SLSE is evaluated by people to ensure the richness of the content that has been used as training data. If the English applicable, not built from 60 gigabytes of text. Since the processing time for it when not highly structured data mining is large, it is troublesome to collect data on this scale. To shorten the processing time, data mining is implemented as a whole.