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<p>As the digital space becomes increasingly multilingual, understanding how users interact with language resources and machine translation tools is vital for improving accessibility and usability. Adopting a human-centered approach, this study investigates the interplay between multilingual digital resources and user behavior by analyzing machine translation adoption patterns and satisfaction levels through a survey of 4,217 respondents across six European countries. Key findings reveal a strong preference for web content in local languages, alongside notable demographic and linguistic disparities in satisfaction with translation technologies, explaining persistent gaps in digital accessibility. The paper offers user-driven recommendations to overcome these challenges, arguing for a more inclusive digital space that moves beyond the dominance of English as a <i>lingua franca</i>.</p>

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Evaluating multilingual digital resources: machine translation adoption and user satisfaction across six European countries

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月29日

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  • Andris Saulītis

摘要

As the digital space becomes increasingly multilingual, understanding how users interact with language resources and machine translation tools is vital for improving accessibility and usability. Adopting a human-centered approach, this study investigates the interplay between multilingual digital resources and user behavior by analyzing machine translation adoption patterns and satisfaction levels through a survey of 4,217 respondents across six European countries. Key findings reveal a strong preference for web content in local languages, alongside notable demographic and linguistic disparities in satisfaction with translation technologies, explaining persistent gaps in digital accessibility. The paper offers user-driven recommendations to overcome these challenges, arguing for a more inclusive digital space that moves beyond the dominance of English as a lingua franca.