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Detecting Unnatural Language in Indonesian Learning Apps

by I Made Soma

Abstract:
Language learning apps are increasingly popular for acquiring new languages, including
Indonesian. However, there are concerns about the unnaturalness of sentences presented by
these applications, often due to direct translations from English. This study examines unnatural
language patterns in popular Indonesian learning apps, such as Duolingo, Pimsleur and
Glossika, by analyzing sentences and comparing them with natural Indonesian expressions.
This research uses a qualitative analysis to categorize the patterns related to grammar,
vocabulary, and contextual appropriateness. The findings aim to highlight common unnatural
patterns in sentences and provide recommendations for improving linguistic accuracy in digital
language learning tools.

Keywords: Language learning apps, Indonesian language learning, unnatural language
patterns, qualitative analysis

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