Exploring The Translation of Web Content in The Website

This research explores the translation of a website (web page). This research is library research. As the internet expands in non-English-speaking countries, multilingual websites have become essential for businesses and accessibility. Translating websites into English enhances global reach but presents challenges in technical, content, and linguistic aspects. Technical issues include file formats and encoding, while content considerations involve text, images, and symbols. Linguistically, style, meaning, and idioms require careful handling. Website translation methods include manual and machine translation. Manual translation ensures accuracy, requiring expertise, contextual understanding, and cultural sensitivity. Machine translation, using AI, offers speed, cost-effectiveness, and consistency but may lack nuance and context. Browsers like Google Chrome, Mozilla Firefox, and Microsoft Edge provide built-in translation features, while extensions further enhance accessibility. However, machine translation can negatively impact SEO rankings and fail to consider reader-specific vocabulary. Moreover, translation influences website design and user experience (UX), affecting layout, menus, and usability. Translators must balance linguistic accuracy with usability, ensuring readability without compromising design. Ultimately, effective website translation requires careful planning to maintain accessibility, accuracy, and functionality. The implications of this research indicate the need for a more holistic approach to translating websites, taking into account readability, user experience, and cultural fit. Translators must understand the target audience well and adapt content to suit the local context while maintaining global communication goals.

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Publication Details

Journal
SALIENCE English Language Literature and Education
Published
2025-05-17
DOI
https://doi.org/10.60155/salience.v5i1.520
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
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article

Exploring The Translation of Web Content in The Website

Tira Nur Fitria
SALIENCE English Language Literature and Education
Web Data Mining and Analysis
article

Exploring The Translation of Web Content in The Website

Tira Nur Fitria
article en

Abstract

This research explores the translation of a website (web page). This research is library research. As the internet expands in non-English-speaking countries, multilingual websites have become essential for businesses and accessibility. Translating websites into English enhances global reach but presents challenges in technical, content, and linguistic aspects. Technical issues include file formats and encoding, while content considerations involve text, images, and symbols. Linguistically, style, meaning, and idioms require careful handling. Website translation methods include manual and machine translation. Manual translation ensures accuracy, requiring expertise, contextual understanding, and cultural sensitivity. Machine translation, using AI, offers speed, cost-effectiveness, and consistency but may lack nuance and context. Browsers like Google Chrome, Mozilla Firefox, and Microsoft Edge provide built-in translation features, while extensions further enhance accessibility. However, machine translation can negatively impact SEO rankings and fail to consider reader-specific vocabulary. Moreover, translation influences website design and user experience (UX), affecting layout, menus, and usability. Translators must balance linguistic accuracy with usability, ensuring readability without compromising design. Ultimately, effective website translation requires careful planning to maintain accessibility, accuracy, and functionality. The implications of this research indicate the need for a more holistic approach to translating websites, taking into account readability, user experience, and cultural fit. Translators must understand the target audience well and adapt content to suit the local context while maintaining global communication goals.

SALIENCE English Language Literature and EducationVol. 5(1)
Institut Teknologi dan Bisnis Kalbe (ID)
Openalex Percentile: Top 85%
Web Data Mining and Analysis
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