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 vector space model to analyze the similarity between machine translation and human translation in English translation. The study results show th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2022.2.0131 |
| _version_ | 1797688785777983488 |
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| author | Zhang Jingqiu Jaamour Qamar |
| author_facet | Zhang Jingqiu Jaamour Qamar |
| author_sort | Zhang Jingqiu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T01:35:42Z |
| format | Article |
| id | doaj.art-f6bfc01c7e0541f7b74fd7719d3b0f29 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-12T01:35:42Z |
| publishDate | 2023-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-f6bfc01c7e0541f7b74fd7719d3b0f292023-09-11T07:01:09ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-01-01811427143410.2478/amns.2022.2.0131Professional English Translation Corpus Under the Binomial Theorem CoefficientZhang Jingqiu0Jaamour Qamar11Jiangsu Vocational College of Electronics and Information, Huai’an223003,China2College of Arts & Science, Applied Science University, BahrainThis 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.https://doi.org/10.2478/amns.2022.2.0131binomial theorem coefficientprofessional english translationcorpusonline machine translationvector space model05a10 |
| spellingShingle | Zhang Jingqiu Jaamour Qamar Professional English Translation Corpus Under the Binomial Theorem Coefficient Applied Mathematics and Nonlinear Sciences binomial theorem coefficient professional english translation corpus online machine translation vector space model 05a10 |
| title | Professional English Translation Corpus Under the Binomial Theorem Coefficient |
| title_full | Professional English Translation Corpus Under the Binomial Theorem Coefficient |
| title_fullStr | Professional English Translation Corpus Under the Binomial Theorem Coefficient |
| title_full_unstemmed | Professional English Translation Corpus Under the Binomial Theorem Coefficient |
| title_short | Professional English Translation Corpus Under the Binomial Theorem Coefficient |
| title_sort | professional english translation corpus under the binomial theorem coefficient |
| topic | binomial theorem coefficient professional english translation corpus online machine translation vector space model 05a10 |
| url | https://doi.org/10.2478/amns.2022.2.0131 |
| work_keys_str_mv | AT zhangjingqiu professionalenglishtranslationcorpusunderthebinomialtheoremcoefficient AT jaamourqamar professionalenglishtranslationcorpusunderthebinomialtheoremcoefficient |