International Trade English Phrases and Grammar Translation

Abstract

With the frequent occurrence of international trade communication, in order to improve the quality of communication, this paper proposes a study on the translation of international trade English phrases and grammar. First, with the help of a rectangular window function, the composition principle of international trade English phrases is determined. Then, the horizontal feature aggregation point method is introduced to build a mathematical model of the characteristic identification of the English phrases. Finally, the sparse matrix representation of the source phrase is constructed to complete the extraction and preprocessing of the English phrase features. The input English sentence is converted into the output sentence, the form and POS factors of the English semantic translation are extracted, and a lemma is introduced to obtain the surface form of international trade English language factors. According to the international trade grammar analysis method, this paper decomposes the translation model, decomposes English sentences into small phrases for translation, and completes the research on international trade English phrase and grammar translation. The experimental results show that this method has high accuracy in the feature extraction of international trade English phrases, and the error rate is low, which is feasible.

Prediction of Translation Ability of Complex English Sentences Based on Artificial Neural Network

“…Translation is currently the main tool for international communication between different countries [1][2][3][4][5][6][7][8]. In recent years, with the development of the language and translation service market, the demand for translation of academic papers and works with professional, practical and academic values has grown rapidly [9][10][11][12][13][14]. However, academic papers and works contain compound sentences with complex clauses and conjunctive forms, making the translation quite challenging [15][16][17][18].…”