Automatic Internationalization for Just In Time Localization of Web-Based User Interfaces

Author:

Leiva Luis A.1,Alabau Vicent1

Affiliation:

1. Universitat Politècnica de València, Valencia, Spain

Abstract

The need to modify an application so that it can support different languages and cultural settings can appear once the application is finished and even in the market. This may introduce serious time delays and an increase in costs. We solve this problem for web-based software through JITL, a post-hoc method to automatically internationalize websites and web-based applications, without having to modify the source code. With JITL, users can pull resource strings out of an arbitrary website and perform on-demand localization tasks. Based on this novel capability, JITL enables a complete infrastructure for collecting, storing, sharing, and delivering website translations, which invokes a number of exciting scenarios. Our studies show that JITL leads to significant savings in terms of user effort and, in consequence, money. With JITL, now it is possible to localize what is needed, when it is needed.

Funder

Seventh Framework Programme

European Commission

Universitat Politècnica de València

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework for the Localization of Programming Languages;Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E;2023-10-18

2. Culture Matters in HCI;Cultures in Human-Computer Interaction;2023

3. Lost in translation;Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments;2019-06-05

4. How Does Machine Translated User Interface Affect User Experience? A Study on Android Apps;2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2017-11

5. Learning to Code in Localized Programming Languages;Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale;2017-04-12

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