The Use of Computer-Assisted Translation Technology in the Age of Artificial Intelligence

Danhua Huang
English College, Zhejiang Yuexiu University, Shaoxing, Zhejiang, China, 312000
Shuaiqiu Xiang
Shenzhen Institute of Information Technology, Shenzhen China, 518172

Abstract:

In this paper we create a algorithm using Natural Language Toolkit which is able to translate English Into French using this neural network architecture then we test accuracy of our model using Train a Machine Translation model FR->EN with BLEU ScoreUse a list a translated sentences in French and English to train the model

#Keras #Deep Learning #NLTK #BLEU Score

In this paper we take 10000 parallel sentences along with their translation then we split our dataset in the ratio of 90:10 as trating and testing dataset

10000 "parallel sentences" will be loaded (original sentence + its translation)

9000 "parallel sentences" will be used to train the model

1000 "parallel sentences" will be used to test the model

In the time of globalization, the quick improvement of current data innovation, which extraordinarily upgrades the usefulness of the interpretation, phenomenally affects the language administration industry. In view of this foundation, this paper depicts the fundamental ideas of PC helped interpretation advancements, clarifies the significant job of significant PC supported interpretation innovation in current interpretation practice, and investigates the improvement pattern of computer aided interpretation advances. At long last, the article calls attention to PC supported interpretation innovation has turned into a vital piece of current interpretation studies, which has expansive importance for further developing language administration industry, and advancing advancement interpretation hypothesis.