Application of Data Mining Methods in Internet of Things Technology for the Translation Systems in Traditional Ethnic Books

Yujing Luo,Yueting Xiang

doi:10.1109/access.2020.2994551

Abstract

In order to translate the ethnic classics, based on the research on the Internet of things, machine learning, and translation technology of ethnic classics, the log-linear model is combined with the national corpus scale and the grammatical structure characteristics, and the phrase statistical machine translation is used to establish a discontinuous phrase extraction model. Then, the translation technology is studied from the three aspects of model definition, training, and decoding. Finally, the algorithm is compared with the traditional phrase extraction algorithm to verify its effectiveness. The results show that the extraction number of discontinuous phrase extraction model is significantly higher than that of traditional phrase extraction model, and the model can extract more phrases, handle larger and more complex text, and score higher in translation fluency. From the evaluation indexes scores of Bilingual Evaluation Understudy (B.L.E.U.) and National Institute of Standards and Technology (N.I.S.T.), it can be found that the B.L.E.U. and N.I.S.T. values of the traditional phrase extraction algorithm are lower than those of the discontinuous phrase extraction model algorithm. The discontinuous phrase extraction algorithm can not only extract the regular continuous phrase, but also obtain the discontinuous text, and the translation effect is better. In conclusion, the combination of Internet of things and machine learning can be used in the translation of ethnic classics to achieve high-quality translation of discontinuous phrases, which is of guiding significance for the study of machine translation.

Highlights

With the rapid development of communication and Internet technologies, the translation technique of ethnic classics based on machine learning has become an important means to understand the culture of a nation
Under this model, the M.L. ethnic classics translation based on I.o.T. can deal with the problem of the small-scale corpus
The reason is that based on the extensive data in the Internet of Things, the translation of traditional ethnic classics can be solved by using machine learning extraction model algorithm of non-contiguous phrase, which can thereby solve the translation difficulties brought by small-scale corpus

Summary

Introduction

With the rapid development of communication and Internet technologies, the translation technique of ethnic classics based on machine learning has become an important means to understand the culture of a nation. Ethnic classics are generated under the specific cultural background of the ethnic groups. They are the reflection of the ethnic culture. With unique cultural forms and characteristics that are different from other cultures, ethnic classics reflect the achievements and contribution of ethnic minorities in a certain field [1]. The traditional ethnic classics are in various forms, which have high cultural and research values. The different culture backgrounds indicate that ethnic-cultural classics have different cultural sources and are corresponding

Methods

Results

Discussion

Conclusion