The Impact of AI Translation on the Dissemination and Reception of English Literary Classics

This study investigates the influence of AI translation technologies on the global dissemination and reception of English literary classics. With the rapid advancement of AI, machine translation has increasingly been applied in the literary field, playing a significant role in facilitating cross-linguistic and cross-cultural communication. However, AI translation faces challenges in handling the complexities of literary texts, particularly with language style, cultural context, and metaphors. Through a combination of literature review, textual analysis, and comparative study, this research examines the strengths and limitations of AI translation in the dissemination of English literary classics. First, it explores the technical characteristics of AI translation in language conversion and evaluates its impact on the fidelity of literary style and cultural context. Then, it compares AI-translated texts with human translations, focusing on the reproduction of rhetorical devices such as metaphors and symbolism. Finally, it discusses the implications of AI translation on readership reception and the status of literary classics. Results indicate that while AI translation enhances dissemination efficiency and broadens readership, its capacity to convey the deeper cultural and artistic dimensions of literary works remains limited. Future research should aim to optimize translation models for better adaptation to literary style and cultural context, and explore hybrid approaches combining AI and human translation to achieve more precise and multidimensional dissemination of English literary classics.

Authors

Institutions

Publication Details

Journal
Journal of new media and economics.
Published
2024-12-01
DOI
https://doi.org/10.62517/jnme.202410603
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
1.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of AI Translation on the Dissemination and Reception of English Literary Classics

Deng Xin
1 citations
Journal of new media and economics.
Computational and Text Analysis Methods
1.89
article

The Impact of AI Translation on the Dissemination and Reception of English Literary Classics

Deng Xin
article en
1 citations

Abstract

This study investigates the influence of AI translation technologies on the global dissemination and reception of English literary classics. With the rapid advancement of AI, machine translation has increasingly been applied in the literary field, playing a significant role in facilitating cross-linguistic and cross-cultural communication. However, AI translation faces challenges in handling the complexities of literary texts, particularly with language style, cultural context, and metaphors. Through a combination of literature review, textual analysis, and comparative study, this research examines the strengths and limitations of AI translation in the dissemination of English literary classics. First, it explores the technical characteristics of AI translation in language conversion and evaluates its impact on the fidelity of literary style and cultural context. Then, it compares AI-translated texts with human translations, focusing on the reproduction of rhetorical devices such as metaphors and symbolism. Finally, it discusses the implications of AI translation on readership reception and the status of literary classics. Results indicate that while AI translation enhances dissemination efficiency and broadens readership, its capacity to convey the deeper cultural and artistic dimensions of literary works remains limited. Future research should aim to optimize translation models for better adaptation to literary style and cultural context, and explore hybrid approaches combining AI and human translation to achieve more precise and multidimensional dissemination of English literary classics.

Journal of new media and economics.Vol. 1(6)
Jilin University of Finance and Economics (CN)
Openalex Percentile: Top 8%
Computational and Text Analysis Methods
1.89
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.