Franklin, Owagu Ugochukwu and Salifu, Abdul-Mumin Selanwiah and Agbedemnab, Peter Awonnatemi (2023) Development of a Web-Based Kasem Language Learning System. Asian Journal of Research in Computer Science, 16 (1). pp. 28-36. ISSN 2581-8260
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Abstract
The concept of language involves using words in an organized and traditional way, be it through speaking, writing, or gesturing, as a means of human communication. The inability to communicate efficiently in a specific language is known as language barrier. Such limitation can result in difficulties performing everyday tasks and create challenges on a global levels, such as when businesses move to other nations or on a local level, like when a family or student moves to a region where English is not the primary language. The effects of linguistic barriers can negatively impact the quality of life for everyone involved, regardless of the context. In this paper, the researchers have designed and implemented a web-based Kasem language learning system (KLLS). The technology provides audio output, with corresponding text in the Kasem language to the end user, allowing them to study and become fluent in it. High-level Python web framework, Django, was used to develop and implement the system. Finally, a series of tests were conducted by different levels of users. Each end user reported a high level of satisfaction with the system after navigating through and receiving a clear audio output.
Item Type: | Article |
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Subjects: | Science Global Plos > Computer Science |
Depositing User: | Unnamed user with email support@science.globalplos.com |
Date Deposited: | 26 May 2023 06:28 |
Last Modified: | 27 Jan 2024 04:17 |
URI: | http://ebooks.manu2sent.com/id/eprint/960 |