Appointment: Associate Professor
Director of the Brain, Language and Intersensory Perception Lab (BLIP Lab), Psychology, NTU

Suzy J. Styles is a developmental psycholinguist specializing in the interaction between language and the development of sensory systems. She trained in Linguistics and Japanese at the Australian National University and Tohoku University, and in Psycholinguistics at the University of Oxford, where she held a Career Development Fellowship at the Department of Experimental Psychology and St Hugh's College. She is an Associate Professor and Director of the Brain, Language and Inter-sensory Processing Lab (BLIP Lab) at Nanyang Technological University, Singapore.

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Open Educational Resources (OERs)

Language - Sensation - Cognition
Evolution of the Human Primate
Crash Course in Sensory Psycholinguistics
Ethical Research Practices
Neuroscience

Science Of Child Language

Research Tools, Surveys & Scales

Understanding Sensation
• Bilingual Language Surveys (coming soon)



For more information, visit faculty webpage or BLIP Lab website

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501 to 510 of 1,561 Results
Oct 18, 2023
This repository collects together studies on the perception of English phonemes in South East Asian English varieties.
Sep 27, 2023 - Red Dot Parent/Child Talk - Discourse Markers
Ho, E. E. J; Styles, Suzy J, 2023, "Preregistration for the roles of education, age of child and perceptions towards the importance of personal expression through language in the production of Singlish discourse markers from parents to children", https://doi.org/10.21979/N9/HJXSNF, DR-NTU (Data), V1
Discourse markers (or discourse particles) are small words that perform pragmatic functions in an utterance (Wee, 2004). For example, it could denote a speaker’s attitude (e.g. “leh” for impatience in Singlish), to express emotion (“sia” for relief in Singlish), or to express cer...
Red Dot Parent/Child Talk - Discourse Markers(Nanyang Technological University)
Sep 27, 2023Red Dot Parent/Child Talk
Red Dot Parent/Child Talk(Nanyang Technological University)
Sep 27, 2023
This Dataverse will collect datasets and resources investigating the use of special 'red-dot' words and structures in parent-child talk in Singapore
Aug 11, 2023 - MERLIon CCS Challenges
Chua, Victoria Yi Han; Garcia Perera, Leibny Paola; Khudanpur, Sanjeev; Khong, Andy W. H.; Dauwels, Justin; Woon, Fei Ting; Styles, Suzy J, 2023, "Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge", https://doi.org/10.21979/N9/ANXS8Z, DR-NTU (Data), V1, UNF:6:QFBERdU0YulYhMohwDaNWg== [fileUNF]
The inaugural Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge focuses on developing robust language identification and language diarization systems that are reliable for non-standard, accented, spontaneous...
Tabular Data - 20.4 KB - 3 Variables, 247 Observations - UNF:6:bDmCMlXNpTBHaqDY+57ZdA==
Contains the timestamps of evaluated regions for language diarization in each audio recording in the MERLIon CCS Challenge development set.
Tabular Data - 10.5 KB - 1 Variables, 151 Observations - UNF:6:DBZ0LJYDQuBp+JpHC4e2wQ==
Contains the filenames of all audio recordings in the MERLIon CCS Challenge development set.
Plain Text - 4.1 KB - MD5: 2a4512e853e7ffdd47d4bb24550c55ca
Contains the release notes and dataset description of the MERLIon CCS Challenge development set.
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