Why choose this project topic?
A study of locating language changes within English and selected Nigerian-language text gives this topic a concrete purpose beyond simply adding an AI model. Comparing token F1, switch-boundary error and unknown-word handling helps a student demonstrate capability, inspect failure cases and explain where human review or a simpler method remains necessary.
How effectively can code-mixed text language identification support locating language changes within English and selected Nigerian-language text, evaluated using token F1, switch-boundary error and unknown-word handling?
Choose a feasible licensed or synthetic dataset and available compute budget, then agree a narrow evaluation for locating language changes within English and selected Nigerian-language text with your supervisor.
Proposed project objectives
- 01Define the task, evidence and evaluation assumptions for locating language changes within English and selected Nigerian-language text.
- 02Use licensed or consented examples with speaker review, annotate token-level switches and compare models with word-level baselines.
- 03Measure token F1, switch-boundary error and unknown-word handling against a stated baseline and analyse failure cases.
A suggested research approach
Use licensed or consented examples with speaker review, annotate token-level switches and compare models with word-level baselines. Check dataset permissions and keep evaluation examples separate from model development. Record model versions, prompts or training settings, then compare token F1, switch-boundary error and unknown-word handling using repeatable runs and retain incorrect outputs for a transparent limitations discussion.
What you will need
- Licensed or consented text
- Qualified language annotator
- Token classification tools
Keep your project scope clear
Language labels do not reveal ethnicity and a small dataset cannot represent all varieties. Generated project writing does not include a trained or deployed AI application.
Artificial Intelligence project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3System Analysis and Design
- Chapter 4System Implementation and Testing
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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