Research Article
Design of Intelligent Recognition English Translation Model Based on Improved GLR Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_38, author={Yuezhou Wei and Lijun Huang}, title={Design of Intelligent Recognition English Translation Model Based on Improved GLR Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={Improved GLR algorithm Intelligent identification English Translation Model}, doi={10.1007/978-3-031-63130-6_38} }- Yuezhou Wei
Lijun Huang
Year: 2024
Design of Intelligent Recognition English Translation Model Based on Improved GLR Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_38
Abstract
We have developed an intelligent English translation model based on improved GLR algorithm. This algorithm is based on the improved version of GLR algorithm. The main difference between them is that in our algorithm, we use two types of data: (1) text data and (2) English translation data to calculate the similarity between text and English translation. A detailed description of the method used to calculate the similarity. The design process of the model includes the following steps: 1) The text is divided into three groups according to its difficulty level; 2) Each group contains a certain amount of text; The task of syntactic analysis is to automatically deduce the grammatical structure of a sentence according to a given grammar and method. The improvement of parsing performance will greatly promote the application of information retrieval and machine translation. This thesis mainly makes a comprehensive analysis of the related technologies of syntactic parsing, and on this basis, implements an English translation syntactic parsing system based on GLR algorithm. In order to deeply understand the application of syntactic analysis in practice; Firstly, this paper gives a detailed overview of the development and research background of syntactic analysis. It studies the basic concepts of syntactic analysis and some commonly used parsing algorithms. At the same time, it studies several popular parsing methods and compares various parsing algorithms; Secondly, based on the research of XUUPOS Corpus and rule base of Xinjiang Key Laboratory of Multilingual Information Technology, this paper extracts and improves the rules suitable for the research of English translation syntax analysis system based on GLR algorithm from three aspects: English translation word segmentation, part of speech tagging and rule base construction.
