Data analysis and visualisation
The ability to write well is crucial. More and more students who are non-native English speakers are eager to acquire English as their second language as English is starting to replace other languages as the primary language of our international communication in all fields. Due to a lack of ex...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/165908 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The ability to write well is crucial. More and more students who are non-native
English speakers are eager to acquire English as their second language as
English is starting to replace other languages as the primary language of our
international communication in all fields.
Due to a lack of experience, these students, who are referred to as English
Language Learners (ELLs), find it difficult to improve their English writing abilities.
Additionally, present technologies are unable to provide feedback simply based
on the student's language proficiency, which could lead to distorted assessments
of their current language skill.
Without a strong command of the language, students may find it challenging to
advance in their careers, particularly when it comes to competing in the
international job markets. A student with strong communication and writing
abilities will have more employment prospects than others because English is
now the language of science, aviation, computers, diplomacy, and tourism.
To address this issue, this project aims to develop an automated feedback tool
that assesses the language proficiency of English Language Learners (ELLs)
between the ages of 13 and 18 using machine learning and natural language
processing (NLP) techniques. |
|---|