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2024 - Volume 7 - Number 2

Navigating Interface Issues: A Comprehensive Review and Analysis

Abdulrahman Mohamed
Technical University of Mombasa, Institute of Computing and Informatics, Mombasa, KENYA

Kennedy Hadullo
Technical University of Mombasa, Institute of Computing and Informatics, Mombasa, KENYA

Open Journal for Information Technology, 2024, 7(2), 71-78 * https://doi.org/10.32591/coas.ojit.0702.02071m
Received: 9 May 2024 ▪ Revised: 17 November 2024 ▪ Accepted: 30 December 2024

LICENCE: Creative Commons Attribution 4.0 International License.

ARTICLE (Full Text - PDF)

ABSTRACT:
Processing low-resource languages, such as Kiswahili, using machine learning is difficult due to lack of adequate training data.  However, such low-resource languages are still important for human communication and are already in daily use and users need practical machine processing tasks such as summarization, disambiguation and even question answering (QA).  One method of processing such languages, while bypassing the need for training data, is the use semantic networks.  Some low resource languages, such as Kiswahili, are of the subject-verb-object (SVO) structure, and similarly semantic networks are a triple of subject-predicate-object, hence SVO parts of speech tags can map into a semantic network triple.  An algorithm to process raw natural language text and map it into a semantic network is therefore necessary and desirable in structuring low resource languages texts.  This algorithm tested on the Kiswahili QA task with up to 78.6% exact match.

KEY WORDS: interface issues, user interface design, human-computer interaction (HCI), usability challenges.

CORRESPONDING AUTHOR:
Abdulrahman Mohamed, Technical University of Mombasa, Institute of Computing and Informatics, Mombasa, KENYA.

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