Language Engineering

Bridging Tradition and Technology: QR Code Integration in Lontara Script Learning Book to Improve Writing and Language Skills

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Yusuf Yusuf1 , Gusnawaty Gusnawaty2* , Risdamayanti Risdamayanti3 , Fathria Azzahra Affandy4 , Nur Alya5
1.2,3,4,5 Department of Regional Languages and Literatures, Hasanuddin University.

Rupkatha Journal, Vol. 16, Issue 2, 2024. https://doi.org/10.21659/rupkatha.v16n2.03
Full-Text PDF Issue Access

Abstract

This study examines the creation and assessment of a Lontara Script Learning Book augmented with QR Code technology to boost students’ Lontara script writing abilities and their proficiency in the Makassar language. Nineteen first-grade students from SD Inpres Kera-Kera in Makassar city participated in the study. The research unfolds into three stages: 1) Preparation, which includes initial observations and interviews, literature review, discussions, and research tool preparation; 2) Implementation, involving the introduction of the learning media, pretest, implementation of Lontara Script Learning Book based on QR Code, summarizing and posttest; 3) Evaluation based on observation, pretest and posttest results serves as the data source. The findings revealed a notable average enhancement of 50.37 in the students’ Lontara script writing skills. Moreover, there was an average increase of 44.21 in Makassar language proficiency through picture guessing exercises and a 37.90 improvement via folklore comprehension. These results signify a substantial advancement in both script learning and language abilities. This innovative educational medium has proven to be effective in enriching the writing and language skills of elementary school students.

Keywords: Lontara, Makassar language, QR Code, Education Technology, South Sulawesi.

Conflicts of Interest: The authors declared no conflicts of interest.
Ethical Consideration: Informed consent was obtained from all the participants of the study.
Funding: No funding was received for this research.
Article History:Received: 25 January 2024. Revised: 29 April 2024. Accepted: 02 May 2024. First published: 03 May 2024
Copyright: © 2024 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India 
Citation:Yusuf, Y. & Gusnawaty, G. & Risdamayanti, R. & Affandy. F. A. & Alya, N. (2024). Bridging Tradition and Technology: QR Code Integration in Lontara Script Learning Book to Improve Writing and Language Skills. Rupkatha Journal 16:2. https://doi.org/10.21659/rupkatha.v16n2.03

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Semantic Model for Fragment of Hindi (Part 2)

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Vivek Tripathi1*  & Dinesh Rathod2  
1Research Scholar, Indian Institute of Technology (BHU) Varanasi. *Corresponding author.
2Research Scholar, Indian Institute of Science, Bangalore.

Rupkatha Journal, Vol. 16, Issue 2, 2024. https://doi.org/10.21659/rupkatha.v16n2.02
Full-Text PDF Issue Access

Access Part 1 of the article>>

Abstract
This paper proposes a formal model for semantic analysis of a fragment of the Hindi language. This paper uses referential noun phrases, transitive and intransitive verb phrases and logical constants to compute the meaning of its sentences generated from the Hindi part-of-speech-tagged corpus features. The paper presents cases of conjunction and negation enriched with idempotent laws that provide semantic computation of simple and complex well-formed formulas. Our system works for any model, with one such model described in our glossary. It deals with the set-theoretic study of essential syntactic categories of Hindi, suggesting the suitability of our rule-based syntactic arrangement and model-based semantic computation by implementing them through an in-house software tool.

Keywords: Natural Languages Processing. Hindi Language Processing. Parser. Context-Free Grammar. Hindi Semantics. Semantic Model for Hindi. Montague Grammar.

Conflicts of Interest: The authors declared no conflicts of interest.
Funding: No funding was received for this research.
Article History: Received: 01 February 2024. Revised: 23 April 2024. Accepted: 24 April 2024. First published: 25 April 2024
Copyright: © 2024 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India
Citation: Tripathi, V & Rathod, D. (2024). Semantic Model for Fragment of Hindi (Part 2). Rupkatha Journal 16:2. https://doi.org/10.21659/rupkatha.v16n2.02

Rupkatha Journal's Sustainable Development Goals (SDGs): Quality education (SDG 4) Gender equality (SDG 5) Decent work and economic growth (SDG 8) Reduced inequalities (SDG 10) Sustainable cities and communities (SDG 11) Climate action (SDG 13) Life on land (SDG 15) Peace, justice, and strong institutions (SDG 16)