View Proposal

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Proposer

Rushan Ziatdinov

Title

A web-based system for creating specialised frequency dictionaries and supporting learning materials from provided texts

Goal

The aim is to develop a web-based system that analyses provided texts, creating specialised frequency dictionaries and supporting learning materials based on the vocabulary and expressions identified within them.

Description

This project aims to develop a web-based system for analysing texts from specific subject areas and, in particular, identifying, counting, and ranking frequently used words, phrases, and expressions. The system will use text-processing and frequency-analysis methods to organise the results into a specialised frequency and thematic dictionary. Based on the identified vocabulary, it will also generate supporting learning materials, such as vocabulary lists, example sentences, exercises, and other useful materials. The system will be evaluated using texts from different subject areas to assess the accuracy, usefulness, and readability of the generated dictionary and learning materials.

Resources

1) Chowdhary, K. (2020). Natural language processing. Fundamentals of artificial intelligence, 603-649. 2) Pinto, J. D. (2018). Creating a frequency dictionary of spoken Hebrew: A reproducible use of technology to overcome scarcity of data (Doctoral dissertation).

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

2

Supervisor

Rushan Ziatdinov

Keywords

web development, data analysis, nlp, design

Degrees

Bachelor of Science in Computational Sciences and Software Engineering