The effect of computational lexicography on documenting Hausa vocabulary in Kano
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- NGN 5000
Background of the Study
Computational lexicography involves using computer algorithms and digital resources to compile, analyze, and document vocabulary. In Kano, where Hausa is a dominant language, there is a pressing need to document its extensive vocabulary, including regional and specialized terms. Digital lexicons offer a systematic approach to preserving and updating lexical entries, facilitating both academic research and language preservation efforts (Bello, 2023). Recent advancements in computational methods, such as automated corpus analysis and machine learning techniques, have enabled the creation of dynamic lexicons that reflect contemporary language usage (Abubakar, 2024). These tools not only capture traditional vocabulary but also track neologisms emerging from social and technological influences. However, challenges such as inconsistent data sources, dialectal variations, and the lack of standardized orthography persist. Researchers (Omar, 2025) argue that integrating computational lexicography with traditional linguistic methods can enhance the accuracy and comprehensiveness of Hausa dictionaries. This study investigates the effect of computational lexicography on documenting Hausa vocabulary in Kano, evaluating its impact on lexicon quality and proposing strategies to overcome existing challenges.
Statement of the Problem
Although computational lexicography has advanced, existing tools often struggle to capture the full range of Hausa vocabulary in Kano due to dialectal diversity, inconsistent orthography, and limited annotated data (Bello, 2023). These limitations result in incomplete lexicons that fail to represent the language’s dynamic nature. The challenges are compounded by rapid lexical evolution and the emergence of new terms that are not immediately documented (Abubakar, 2024). Consequently, the preservation and academic study of Hausa vocabulary are hindered. Addressing these issues is essential for creating comprehensive digital dictionaries that accurately reflect contemporary usage and support language planning and preservation.
Objectives of the Study
- To evaluate the current state of computational lexicography in documenting Hausa vocabulary.
- To identify challenges in capturing dialectal and evolving lexical entries.
- To propose strategies for enhancing the comprehensiveness of digital Hausa lexicons.
Research Questions
- How effective are current computational methods in documenting Hausa vocabulary in Kano?
- What challenges hinder the completeness of digital lexicons?
- How can computational lexicography be improved to capture dynamic language changes?
Significance of the Study
This study is significant because it explores the application of computational lexicography in preserving Hausa vocabulary, a vital aspect of cultural heritage in Kano. By identifying limitations and proposing improvements, the research will contribute to the creation of more comprehensive digital lexicons. These enhanced resources will support linguistic research, educational initiatives, and language preservation efforts, benefiting lexicographers, educators, and the broader Hausa-speaking community.
Scope and Limitations of the Study
This study focuses exclusively on computational lexicography for Hausa vocabulary documentation in Kano and does not extend to other languages or manual lexicographic methods.
Definitions of Terms
- Computational Lexicography: The use of digital tools and algorithms to compile and analyze vocabulary.
- Lexicon: A collection of words and their meanings in a language.
- Hausa Vocabulary: The set of words used in the Hausa language.
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