A Study on the Influence Mechanism of English Corpus on Translation Quality in Multilingual Website Translation

[1] De Sutter, G., Cappelle, B., De Clercq, O., Loock, R., & Plevoets, K. (2017). Towards a corpus-based, statistical approach to translation quality: Measuring and visualizing linguistic deviance in student translations.Linguistica Antverpiensia, New Series–Themes in Translation Studies, 16. De Sutter G. Cappelle B. De Clercq O. Loock R. Plevoets K. ( 2017 ). Towards a corpus-based, statistical approach to translation quality: Measuring and visualizing linguistic deviance in student translations . Linguistica Antverpiensia, New Series–Themes in Translation Studies , 16 . Search in Google Scholar

[2] Yang, J. (2017). Using computer assisted translation tools’ translation quality assessment functionalities to assess students’ translations. The Language Scholar, (1). Yang J. ( 2017 ). Using computer assisted translation tools’ translation quality assessment functionalities to assess students’ translations . The Language Scholar, ( 1 ). Search in Google Scholar

[3] Laviosa, S., & Malamatidou, S. (2020). Corpus Translation and Interpreting Studies. The Oxford Handbook of Translation and Social Practices, 263. Laviosa S. Malamatidou S. ( 2020 ). Corpus Translation and Interpreting Studies . The Oxford Handbook of Translation and Social Practices, 263 . Search in Google Scholar

[4] Vela-Valido, J. (2021). Translation quality management in the AI age. New technologies to perform translation quality management operations. Revista Tradumàtica. Vela-Valido J. ( 2021 ). Translation quality management in the AI age. New technologies to perform translation quality management operations . Revista Tradumàtica . Search in Google Scholar

[5] Rivera-Trigueros, I. (2022). Machine translation systems and quality assessment: a systematic review. Language Resources and Evaluation, 56(2), 593-619. Rivera-Trigueros I. ( 2022 ). Machine translation systems and quality assessment: a systematic review . Language Resources and Evaluation , 56 ( 2 ), 593 - 619 . Search in Google Scholar

[6] Vardaro, J., Schaeffer, M., & Hansen-Schirra, S. (2019, September). Translation quality and error recognition in professional neural machine translation post-editing. In Informatics (Vol. 6, No. 3, p. 41). MDPI. Vardaro J. Schaeffer M. Hansen-Schirra S. ( 2019 , September ). Translation quality and error recognition in professional neural machine translation post-editing . In Informatics (Vol. 6 , No. 3 , p. 41 ). MDPI . Search in Google Scholar

[7] Popović, M. (2018). Error classification and analysis for machine translation quality assessment. Translation quality assessment: From principles to practice, 129-158. Popović M. ( 2018 ). Error classification and analysis for machine translation quality assessment . Translation quality assessment: From principles to practice , 129 - 158 . Search in Google Scholar

[8] Specia, L., & Shah, K. (2018). Machine translation quality estimation: Applications and future perspectives. Translation quality assessment: from principles to practice, 201-235. Specia L. Shah K. ( 2018 ). Machine translation quality estimation: Applications and future perspectives . Translation quality assessment: from principles to practice , 201 - 235 . Search in Google Scholar

[9] Tezcan, A., Hoste, V., & Macken, L. (2017). SCATE taxonomy and corpus of machine translation errors. Trends in E-tools and resources for translators and interpreters, 219-244. Tezcan A. Hoste V. Macken L. ( 2017 ). SCATE taxonomy and corpus of machine translation errors . Trends in E-tools and resources for translators and interpreters , 219 - 244 . Search in Google Scholar

[10] Qi, D., & Haladin, N. A. B. (2021). Corpus translation system based on Web Services and its application. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-12. Qi D. Haladin N. A. B. ( 2021 ). Corpus translation system based on Web Services and its application . Journal of Intelligent & Fuzzy Systems, (Preprint) , 1 - 12 . Search in Google Scholar

[11] Ahmad, A. A. S., Hammo, B., & Yagi, S. (2017). English-Arabic Political Parallel Corpus: Construction, Analysis and a Case Study in Translation Strategies. Jordanian Journal of Computers and Information Technology (JJCIT), 3(3). Ahmad A. A. S. Hammo B. Yagi S. ( 2017 ). English-Arabic Political Parallel Corpus: Construction, Analysis and a Case Study in Translation Strategies . Jordanian Journal of Computers and Information Technology (JJCIT) , 3 ( 3 ). Search in Google Scholar

[12] Rodríguez-Inés, P. (2017). Corpus-based insights into cognition. The handbook of translation and cognition, 265-289. Rodríguez-Inés P. ( 2017 ). Corpus-based insights into cognition . The handbook of translation and cognition , 265 - 289 . Search in Google Scholar

[13] Marco, J. (2019). The translation of food-related culture-specific items in the Valencian Corpus of Translated Literature (COVALT) corpus: a study of techniques and factors. Perspectives, 27(1), 20-41. Marco J. ( 2019 ). The translation of food-related culture-specific items in the Valencian Corpus of Translated Literature (COVALT) corpus: a study of techniques and factors . Perspectives , 27 ( 1 ), 20 - 41 . Search in Google Scholar

[14] Libo, H. U. A. N. G. (2017). An Overview of Translation Studies Based on Corpus of LSP. Journal of Beijing International Studies University, 39(2), 70. Libo H. U. A. N. G. ( 2017 ). An Overview of Translation Studies Based on Corpus of LSP . Journal of Beijing International Studies University , 39 ( 2 ), 70 . Search in Google Scholar

[15] Iranzo-Sánchez, J., Silvestre-Cerda, J. A., Jorge, J., Roselló, N., Giménez, A., Sanchis, A., … & Juan, A. (2020, May). Europarl-st: A multilingual corpus for speech translation of parliamentary debates. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8229-8233). IEEE. Iranzo-Sánchez J. Silvestre-Cerda J. A. Jorge J. Roselló N. Giménez A. Sanchis A. Juan A. ( 2020 , May ). Europarl-st: A multilingual corpus for speech translation of parliamentary debates . In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8229 - 8233 ). IEEE . Search in Google Scholar

[16] Zhang, B. (2024). A Corpus-Based Study on the Translation Style of Four English Versions of Fu Sheng Liu Ji. Comparative Literature: East & West, 8(1), 108-128. Zhang B. ( 2024 ). A Corpus-Based Study on the Translation Style of Four English Versions of Fu Sheng Liu Ji . Comparative Literature: East & West , 8 ( 1 ), 108 - 128 . Search in Google Scholar

[17] Liu, K., & Afzaal, M. (2021). Translator&s style through lexical bundles: A corpus-driven analysis of two English translations of Hongloumeng. Frontiers in Psychology, 12, 633422. Liu K. Afzaal M. ( 2021 ). Translator&s style through lexical bundles: A corpus-driven analysis of two English translations of Hongloumeng . Frontiers in Psychology , 12 , 633422 . Search in Google Scholar

[18] Ruano, P. (2017). Corpus methodologies in literary translation studies: An analysis of speech verbs in four Spanish translations of Hard Times. Meta, 62(1), 94-113. Ruano P. ( 2017 ). Corpus methodologies in literary translation studies: An analysis of speech verbs in four Spanish translations of Hard Times . Meta , 62 ( 1 ), 94 - 113 . Search in Google Scholar

[19] Zhang, N., & He, X. (2024). Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice. Journal of Electrical Systems, 20(3s), 2855-2866. Zhang N. He X. ( 2024 ). Corpus-based Research on English-Chinese Translation Teaching Combining Vocabulary Learning and Practice . Journal of Electrical Systems, 20(3s) , 2855 - 2866 . Search in Google Scholar

[20] Li, Q., Wu, R., & Ng, Y. (2022). Developing culturally effective strategies for Chinese to English geotourism translation by corpus-based interdisciplinary translation analysis. Geoheritage, 14(1), 6. Li Q. Wu R. Ng Y. ( 2022 ). Developing culturally effective strategies for Chinese to English geotourism translation by corpus-based interdisciplinary translation analysis . Geoheritage , 14 ( 1 ), 6 . Search in Google Scholar

[21] Sayogie, F., & Supardi, M. (2021). Equivalence Levels of literary corpus translation using a freeware analysis toolkit. Buletin Al-Turas, 27(1), 55-70. Sayogie F. Supardi M. ( 2021 ). Equivalence Levels of literary corpus translation using a freeware analysis toolkit . Buletin Al-Turas , 27 ( 1 ), 55 - 70 . Search in Google Scholar

[22] Alves, F., & Vale, D. C. (2017). On drafting and revision in translation: A corpus linguistics oriented analysis of translation process data. Annotation, exploitation and evaluation of parallel corpora, 89-110. Alves F. Vale D. C. ( 2017 ). On drafting and revision in translation: A corpus linguistics oriented analysis of translation process data . Annotation, exploitation and evaluation of parallel corpora , 89 - 110 . Search in Google Scholar

[23] Haulai, T., & Hussain, J. (2023). Construction of Mizo: English Parallel Corpus for Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(8), 1-12. Haulai T. Hussain J. ( 2023 ). Construction of Mizo: English Parallel Corpus for Machine Translation . ACM Transactions on Asian and Low-Resource Language Information Processing , 22 ( 8 ), 1 - 12 . Search in Google Scholar

[24] Laviosa, S. (2021). Corpus-based translation studies: Theory, findings, applications (Vol.17). Brill. Laviosa S. ( 2021 ). Corpus-based translation studies: Theory, findings, applications (Vol . 17 ). Brill . Search in Google Scholar

[25] De Sutter, G., & Lefer, M. A. (2020). On the need for a new research agenda for corpus-based translation studies: A multi-methodological, multifactorial and interdisciplinary approach. Perspectives, 28(1), 1-23. De Sutter G. Lefer M. A. ( 2020 ). On the need for a new research agenda for corpus-based translation studies: A multi-methodological, multifactorial and interdisciplinary approach . Perspectives , 28 ( 1 ), 1 - 23 . Search in Google Scholar

[26] Wu, K., Lei, V. L., & Li, D. (2024). Charting the trajectory of corpus translation studies: Exploring future avenues for advancement. Corpus-Based Studies Across Humanities, 2(1), 51-77. Wu K. Lei V. L. Li D. ( 2024 ). Charting the trajectory of corpus translation studies: Exploring future avenues for advancement . Corpus-Based Studies Across Humanities , 2 ( 1 ), 51 - 77 . Search in Google Scholar

[27] Giampieri, P. (2021). Volcanic experiences: comparing non-corpus-based translations with corpus-based translations in translation training. Perspectives, 29(1), 46-63. Giampieri P. ( 2021 ). Volcanic experiences: comparing non-corpus-based translations with corpus-based translations in translation training . Perspectives , 29 ( 1 ), 46 - 63 . Search in Google Scholar

[28] De Clercq, O., De Sutter, G., Loock, R., Cappelle, B., & Plevoets, K. (2021). Uncovering machine translationese using corpus analysis techniques to distinguish between original and machine-translated French. Translation Quarterly, (101), 21-45. De Clercq O. De Sutter G. Loock R. Cappelle B. Plevoets K. ( 2021 ). Uncovering machine translationese using corpus analysis techniques to distinguish between original and machine-translated French . Translation Quarterly, (101) , 21 - 45 . Search in Google Scholar

[29] Carl, M., & Schaeffer, M. J. (2017). Why translation is difficult: A corpus-based study of non-literality in post-editing and from-scratch translation. Hermes, 56, 43-57. Carl M. Schaeffer M. J. ( 2017 ). Why translation is difficult: A corpus-based study of non-literality in post-editing and from-scratch translation . Hermes , 56 , 43 - 57 . Search in Google Scholar

[30] Imankulova, A., Sato, T., & Komachi, M. (2019). Filtered pseudo-parallel corpus improves low-resource neural machine translation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 19(2), 1-16. Imankulova A. Sato T. Komachi M. ( 2019 ). Filtered pseudo-parallel corpus improves low-resource neural machine translation . ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) , 19 ( 2 ), 1 - 16 . Search in Google Scholar

[31] Song Jie,Liu Yixiao & Qu Yunhua. (2023). N-gram Language Model for Chinese Function-word-centered Patterns. Journal of computing and information technology(1),39-55. Jie Song Yixiao Liu Yunhua Qu ( 2023 ). N-gram Language Model for Chinese Function-word-centered Patterns . Journal of computing and information technology ( 1 ), 39 - 55 . Search in Google Scholar

[32] Chen Bingren,Wu Hanqing,Yuan Haomu,Wu Lei & Li Xin. (2024). A novel quantum algorithm for converting between one-hot and binary encodings. Quantum Information Processing(6), Bingren Chen Hanqing Wu Haomu Yuan Lei Wu Xin Li ( 2024 ). A novel quantum algorithm for converting between one-hot and binary encodings . Quantum Information Processing ( 6 ), Search in Google Scholar

[33] Mozhgan Ghassemiazghandi. (2024). An Evaluation of ChatGPT&s Translation Accuracy Using BLEU Score. Theory and Practice in Language Studies(4),985-994. Ghassemiazghandi Mozhgan ( 2024 ). An Evaluation of ChatGPT&s Translation Accuracy Using BLEU Score . Theory and Practice in Language Studies ( 4 ), 985 - 994 . Search in Google Scholar

[34] Xinjian Bai,Yuchen Xu,Yongqian Liu,Hang Meng & Tsogtgerel Davaasuren. (2025). Wind turbine blade icing diagnosis based on k-means clustering and label propagation algorithm. International Journal of Green Energy(1),124-139. Bai Xinjian Xu Yuchen Liu Yongqian Meng Hang Davaasuren Tsogtgerel ( 2025 ). Wind turbine blade icing diagnosis based on k-means clustering and label propagation algorithm . International Journal of Green Energy ( 1 ), 124 - 139 . Search in Google Scholar