Exploration of low-resource language-oriented machine translation system of genetic algorithm-optimized hyper-task network under cloud platform technology

Liu, Xiao; Chen, Junlong; Qi, Deyu; Zhang, Tong

doi:10.1007/s11227-023-05604-6

Cited by 1 publication

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“…Beyond mere translation, the algorithm will incorporate features designed to enhance comprehension and appreciation, such as cultural annotations, contextual explanations, and vocabulary support [14]. Furthermore, the algorithm will leverage adaptive learning mechanisms to tailor the translation process to the individual needs and proficiency levels of each learner, thereby optimizing their reading experience and promoting linguistic growth [15]. Through this innovative fusion of language learning and machine translation, the algorithm seeks to empower English learners to engage more deeply with foreign literature, fostering a greater sense of cultural empathy and global awareness [16].…”

Section: Introductionmentioning

confidence: 99%

Construction of Algorithm for English Learners to Read Foreign Literature Based on Machine Translation Technology

Jinrong Shu

2024

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This study focuses on the development of an algorithm aimed at assisting English learners in comprehending foreign literature through the utilization of machine translation technology. With the growing importance of multilingual proficiency in a globalized world, the ability to read and understand literature in foreign languages is increasingly valued. However, language barriers often hinder learners' comprehension and appreciation of such texts. To address this challenge, our research endeavors to construct an algorithm that leverages machine translation techniques to facilitate the reading process for English learners. By integrating advanced translation algorithms and natural language processing methods, the proposed system aims to provide accurate and contextually relevant translations of foreign literature into English. Additionally, the algorithm will incorporate features tailored to the needs of English learners, such as vocabulary assistance, grammatical explanations, and cultural context annotations, to enhance their reading experience and comprehension levels. Through rigorous experimentation and evaluation, the effectiveness and usability of the algorithm will be assessed, with the ultimate goal of empowering English learners to engage more deeply with foreign literature and broaden their linguistic and cultural horizons.

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Section: Introductionmentioning

confidence: 99%

Construction of Algorithm for English Learners to Read Foreign Literature Based on Machine Translation Technology

Jinrong Shu

2024

jes

View full text Add to dashboard Cite

show abstract

Exploration of low-resource language-oriented machine translation system of genetic algorithm-optimized hyper-task network under cloud platform technology

Cited by 1 publication

References 47 publications

Construction of Algorithm for English Learners to Read Foreign Literature Based on Machine Translation Technology

Construction of Algorithm for English Learners to Read Foreign Literature Based on Machine Translation Technology

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