A decent spell checker for dyslexics and bad spellers
Supervisor:
Richard Buckland
Research Area:
Algorithms, HCI, Psychology
Associated Staff
Assessor:
Nadine Marcus
Topic Details
Status:
Active
Type:
R & D
Programs:
CS
CE
BIOM
BINF
SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
Description:
There is a reasonable amount of research on how dyslexics and poor spellers go wrong but still most spell checkers are not very good at helping them. Two promising approaches are a personalised spell checker which learns over time, and using a phonetic dictionary as well as a traditional word list dictionary.
This project is to investigate the current research and design a more effective spell checker for such people. You'll need to have good coding and data structure and algorithm skills.
If you want to do the project as a team (my preference) then the aim is to produce an actual usable spell-check plug in for some common linux or windows program or ajax app. If you want to do the project as an individual then you should identify the part of the problem which interests you the most.
Comments:
You'll need to be smart, enterprising, and creative. If you are interested in doing so we'll seek live spelling and misspelling data from google and perhaps interest them in the spell checker itself.
see more here: https://wiki.cse.unsw.edu.au/info/Dyslexic_Spell_Checker
