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Localization Testing in Video Games Using Text Recognition
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AI
DOI：10.1007/978-3-032-05188-2_17.png)
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Abstract
En 中文
Localization is an essential task to adapt software applications to different languages and cultural contexts. The work of the localization team often implies manual testing tasks to prevent localization errors, which involves high costs in terms of time and money. This paper describes AutoLQA, a tool to assist in localization testing tasks. The goal of this tool is to auto mate these testing tasks, extracting the text that appears in video game screenshots and running automated tests that check whether the recognized text contains any localization issues.
Keywords:
Video games
localization testing
OCR
Text recognition
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