Research on Media Text Translation Based on Information Retrieval

This paper focuses on the research of media knowledge text translation based on information retrieval, and discusses how information retrieval technology can affect and optimize the translation process and results of media texts. By combining the basic principles of information retrieval technology and its practical application scenarios, this paper analyzes the characteristics of media texts and their special requirements for translation. Through the design experiment, the effect of information retrieval technology on improving translation quality, efficiency and reaction cost is evaluated. The experimental results show that this technology can significantly improve the accuracy and fluency of translation, shorten the translation cycle and reduce the cost. The application prospect of information retrieval in the field of translation will be broader. This study can not only provide a new perspective and method for the translation of media texts, but also contribute to the improvement of cross-cultural communication and information dissemination efficiency.

Authors

Institutions

Publication Details

Journal
International Journal of e-Collaboration
Published
2025-03-05
DOI
https://doi.org/10.4018/ijec.370405
Citations
1
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Media Text Translation Based on Information Retrieval

Jiuquan Zhang, Meng Yan
1 citations
International Journal of e-Collaboration
Web Data Mining and Analysis
3.25
article

Research on Media Text Translation Based on Information Retrieval

Jiuquan Zhang, Meng Yan
article en
1 citations

Abstract

This paper focuses on the research of media knowledge text translation based on information retrieval, and discusses how information retrieval technology can affect and optimize the translation process and results of media texts. By combining the basic principles of information retrieval technology and its practical application scenarios, this paper analyzes the characteristics of media texts and their special requirements for translation. Through the design experiment, the effect of information retrieval technology on improving translation quality, efficiency and reaction cost is evaluated. The experimental results show that this technology can significantly improve the accuracy and fluency of translation, shorten the translation cycle and reduce the cost. The application prospect of information retrieval in the field of translation will be broader. This study can not only provide a new perspective and method for the translation of media texts, but also contribute to the improvement of cross-cultural communication and information dissemination efficiency.

International Journal of e-CollaborationVol. 21(1)
Huainan Normal University (CN)
Openalex Percentile: Top 11%
Web Data Mining and Analysis
3.25
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.

Research on Media Text Translation Based on Information Retrieval — Jiuquan Zhang, Meng Yan · International Journal of e-Collaboration (2025) | TGRS Research Map | TGRS