The Small World of Singlish Words:
Measuring the Singaporean English Mental Lexicon
National University of Singapore
Faculty of Arts and Social Sciences
Principal Investigator: Assistant Professor Cynthia S. Q. Siew
Team Member: Mr Wong Jin Jye
Motivated by the lack of representation of non-dominant English dialects in existing psycholinguistic word norms, our project aims to create a database of semantic, affective, and word association norms for Singapore English words. Our research lab prioritises making all of our collected datasets and analysis scripts openly available through online repositories, such as Open Science Framework (OSF), ensuring reproducibility and reusability of research findings. This approach facilitates the creation of culturally relevant AI and computational models for linguistic analysis of Singaporean text. By embracing open science practices and promoting citizen science initiatives, our work contributes significantly to advancing cross-cultural psycholinguistic research and promoting open science principles within the social sciences.
Lightning Talk by Assistant Professor Cynthia Siew [Slides | Recording]
Citizen Science - A Small World of Singlish Words
Open Data - Small World of Singlish Words
Data Paper - Small World of Singlish Words
Open Data on OSF for Preprint - A Comparison of Word Humor Ratings Across Speakers of North American, British, and Singapore English
Open Codes and Tools - SpreadR
Open Scripts - Tracking Lexical Knowledge of 240 Singapore English Concepts