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

<p>This paper proposes a professional English translation corpus based on the binomial theorem coefficients. This paper combines the binomial theorem with the vector space model to analyze the similarity between machine translation and human translation in English translation. The study results show that both human translation and machine translation can experience translation inaccuracies. The English translation based on the binomial theorem is more objective and accurate. The professional English translation corpus established by this method can help us solve the problem of professional terminology translation. The research in this paper has a specific reference value for improving the accuracy of the English translation.</p>
</abstract>

This paper proposes a professional English translation corpus based on the binomial theorem coefficients. This paper combines the binomial theorem with the vector space model to analyze the similarity between machine translation and human translation in English translation. The study results show that both human translation and machine translation can experience translation inaccuracies. The English translation based on the binomial theorem is more objective and accurate. The professional English translation corpus established by this method can help us solve the problem of professional terminology translation. The research in this paper has a specific reference value for improving the accuracy of the English translation.

Professional English Translation Corpus Under the Binomial Theorem Coefficient

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Professional English Translation Corpus Under the Binomial Theorem Coefficient"}

This paper proposes a professional English translation corpus based on the binomial theorem coefficients. This paper combines the binomial theorem with the...

Professional English Translation Corpus Under the Binomial Theorem Coefficient

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1427 - 1434

Eingereicht: 07. März 2022

Akzeptiert: 08. Mai 2022

DOI: https://doi.org/10.2478/amns.2022.2.0131

Schlüsselwörter
Binomial theorem coefficient, Professional English translation, Corpus, online machine translation, Vector space model

© 2023 Jingqiu Zhang et al., published by Sciendo

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

Professional English Translation Corpus Under the Binomial Theorem Coefficient

Online veröffentlicht: 15. Juli 2022

Seitenbereich: 1427 - 1434

Eingereicht: 07. März 2022

Akzeptiert: 08. Mai 2022

DOI: https://doi.org/10.2478/amns.2022.2.0131

SchlüsselwörterBinomial theorem coefficient, Professional English translation, Corpus, online machine translation, Vector space model

© 2023 Jingqiu Zhang et al., published by Sciendo

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

Schlüsselwörter
Binomial theorem coefficient, Professional English translation, Corpus, online machine translation, Vector space model