<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Under the background of Internet+, for the problems of high comprehension difficulty and inaccurate translation in university English translation teaching, this paper proposes the skeleton knowledge translation model to assist university English translation teaching that integrates Chinese culture. Starting from the objectives of university English translation teaching, Chinese culture is explored in university English translation materials to complete the design of university English translation teaching that integrates Chinese culture. Propose the application of Internet technology in the above teaching design, utilize the IBM word alignment model and TF-IDF similarity to preprocess the university English translation textbooks, and on the basis of preprocessing, estimate the probability and decode the generated phrase pairs, and then complete the construction of the English translation model based on skeleton knowledge. The English translation model’s performance analysis is carried out using skeleton knowledge after determining the data set and evaluation criteria. The results show that for the whole 400 000 batch training, the training time of the English translation model based on skeleton knowledge is about one-fifth less than that of the unsupervised neural machine translation model, indicating that with the increase of the number of rounds, the performance of the English translation model based on skeleton knowledge is also better. This study serves as a guide for exploring and researching Chinese culture in university English translation teaching and promotes the development of university English translation teaching in colleges and universities.</p>
</abstract>

Under the background of Internet+, for the problems of high comprehension difficulty and inaccurate translation in university English translation teaching, this paper proposes the skeleton knowledge translation model to assist university English translation teaching that integrates Chinese culture. Starting from the objectives of university English translation teaching, Chinese culture is explored in university English translation materials to complete the design of university English translation teaching that integrates Chinese culture. Propose the application of Internet technology in the above teaching design, utilize the IBM word alignment model and TF-IDF similarity to preprocess the university English translation textbooks, and on the basis of preprocessing, estimate the probability and decode the generated phrase pairs, and then complete the construction of the English translation model based on skeleton knowledge. The English translation model’s performance analysis is carried out using skeleton knowledge after determining the data set and evaluation criteria. The results show that for the whole 400 000 batch training, the training time of the English translation model based on skeleton knowledge is about one-fifth less than that of the unsupervised neural machine translation model, indicating that with the increase of the number of rounds, the performance of the English translation model based on skeleton knowledge is also better. This study serves as a guide for exploring and researching Chinese culture in university English translation teaching and promotes the development of university English translation teaching in colleges and universities.

Exploration and Research on Chinese Culture in University English Translation Teaching in the Background of Internet+

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Under the background of Internet+, for the problems of high comprehension difficulty and inaccurate translation in university English translation teaching,...

Exploration and Research on Chinese Culture in University English Translation Teaching in the Background of Internet+

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 15 sty 2024

Przyjęty: 29 mar 2024

DOI: https://doi.org/10.2478/amns-2024-1065

Słowa kluczowe
BM word alignment model, TF-IDF similarity, Skeleton knowledge, Probability estimation, English translation teaching

© 2024 Xiaoying Gu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration and Research on Chinese Culture in University English Translation Teaching in the Background of Internet+

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 15 sty 2024

Przyjęty: 29 mar 2024

DOI: https://doi.org/10.2478/amns-2024-1065

Słowa kluczoweBM word alignment model, TF-IDF similarity, Skeleton knowledge, Probability estimation, English translation teaching

© 2024 Xiaoying Gu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
BM word alignment model, TF-IDF similarity, Skeleton knowledge, Probability estimation, English translation teaching