0704-883-0675     |      dataprojectng@gmail.com

The Impact of Digital Storytelling Platforms on Computational Linguistic Research in Igbo

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style:
  • Recommended for :
  • NGN 5000

Background of the Study
Digital storytelling platforms have emerged as innovative tools for both preserving and researching indigenous languages. In Igbo, these platforms facilitate the collection and dissemination of oral narratives, cultural histories, and contemporary experiences (Nwachukwu, 2023). The integration of multimedia storytelling with computational linguistic methods has opened new avenues for language analysis, enabling researchers to extract linguistic patterns, analyze discourse structures, and preserve endangered oral traditions. Digital storytelling provides rich data for NLP applications such as sentiment analysis, topic modeling, and speech recognition. These platforms bridge traditional oral literature with modern technology, contributing to both language preservation and academic research (Chukwu, 2024). However, the effective utilization of digital storytelling in computational linguistics remains underexplored. This study investigates the impact of digital storytelling platforms on computational linguistic research in Igbo, examining how these platforms enhance data collection, linguistic analysis, and cultural preservation (Okafor, 2025).

Statement of the Problem
While digital storytelling platforms have shown promise in preserving Igbo culture, their impact on computational linguistic research is not well-documented. Existing studies often focus on the cultural aspects of storytelling without evaluating its contribution to language data analysis (Nwachukwu, 2023). This gap limits our understanding of how these platforms can be optimized for computational research, affecting the development of advanced NLP tools and language preservation strategies (Chukwu, 2024).

Objectives of the Study

  1. To evaluate the contribution of digital storytelling platforms to Igbo linguistic data.
  2. To analyze how these platforms enhance computational linguistic research.
  3. To propose recommendations for optimizing digital storytelling for language preservation.

Research Questions

  1. How do digital storytelling platforms contribute to Igbo language data?
  2. What computational linguistic applications benefit from this data?
  3. How can these platforms be improved to further support linguistic research?

Significance of the Study
This study is significant as it bridges digital storytelling with computational linguistics, demonstrating how innovative platforms can enhance language research and preservation in Igbo. The findings will benefit digital humanists, linguists, and cultural preservationists by providing strategies to optimize data collection and analysis, thereby strengthening efforts to document and revitalize Igbo.

Scope and Limitations of the Study
The study is limited to digital storytelling platforms for Igbo and focuses on computational linguistic applications, excluding broader cultural analysis.

Definitions of Terms

  1. Digital Storytelling: The use of digital tools to narrate stories and preserve oral traditions.
  2. Computational Linguistics: The use of computer algorithms to analyze and process language data.
  3. Igbo Language: A major language spoken in southeastern Nigeria.




Related Project Materials

Impact of Variance Analysis on Financial Accountability in Geidam LGA

Background of the Study

Variance analysis is a key financial tool used to compare actu...

Read more
An examination of semantic convergence in bilingual Hausa-English communities in Kaduna

Background of the Study
In Kaduna, bilingual communities proficient in both Hausa and English exhibit a phenomenon known a...

Read more
Exploring AI-Based Automated Course Scheduling Systems for Universities in Kaduna State University, Kaduna State

Background of the Study
Course scheduling is a critical administrative task that directly affects the efficiency of academ...

Read more
An Investigation of AI-Based Predictive Models for Student Career Success in Umaru Musa Yar’adua University, Katsina, Katsina State

Background of the Study
Predicting student career success is a complex and critical task in higher education, as it helps i...

Read more
The Adoption of Automated Inventory Systems and Business Performance: A Case Study of Retail Businesses in Zamfara State

Background of the Study

Inventory management is a critical component of business operations, particularly in the retail sector, where the...

Read more
A study of mobile marketing automation on driving app retention: Evidence from a fintech application in Kano, Nigeria

Background of the study
Mobile marketing automation plays a crucial role in enhancing app retention by enabling fintech app...

Read more
AN APPRAISAL OF FACTORS MILITATING AGAINST THE EFFECTIVE IMPLEMENTATION OF FORMAL RISK MANAGEMENT TECHNIQUES IN PROJECT DELIVERY

EXCERPT FROM THE STUDY

In this study, our focus was to carryout an appraisal of factors militating against the effective implementation o...

Read more
The impact of nurse-led interventions on reducing hospital readmissions at the Federal Teaching Hospital, Gombe

Background of the Study

Hospital readmissions represent a significant challenge for healthcare systems worldwide, contributing to increas...

Read more
CONSTRAINTS TO THE DISTRIBUTION OF AGRICULTURAL PRODUCTS BY LOCAL PRODUCERS IN TARABA STATE

EXCERPT FROM THE STUDY

Problems in agricultural marketing include large number of middlemen who intervene between p...

Read more
The impact of land conflicts on agricultural productivity in Uhunmwonde Local Government Area, Edo State

Background of the study
Land conflicts have emerged as a critical issue affecting agricultural productivity in many rural a...

Read more
Share this page with your friends




whatsapp