DR-NTU (Data) (Nanyang Technological University)
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1955 research outputs found
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Generator matrices
No full textThese files contain generator matrices used to construct qudit EAQECCs with new parameters
Related Data for: Timinganomaly free dynamic scheduling of conditional DAG tasks on multi-core systems
No full textThe related data for Timinganomaly free dynamic scheduling of conditional DAG tasks on multi-core system
Replication Data for: Asynchronous Charge Carrier Injection in Perovskite Light-Emitting Transistors
No full textData for the paper: Asynchronous Charge Carrier Injection in Perovskite Light-Emitting Transisto
Related Data for: Efficient FPGA-based sparse matrix-vector multiplication with data reuse-aware compression
No full textThe code for the paper: Efficient FPGA-based sparse matrix-vector multiplication with data reuse-aware compressio
Replication data for: Topology with Memory in Nonlinear Driven-Dissipative Photonic Lattices
No full textData corresponding to all figures in .mat format
Replication Data for: Effect of Air Exposure on Electron-Beam-Induced Degradation of Perovskite Films
No full textTransmission Electron Microscope (.dm4) dataset for SAED pattern
Related data for: Contention Minimization in Emerging SMART NoC via Direct and Indirect Routes
No full textThe related code for the paper
ECHAM4.6-slab ocean model mid-Holocene simulation output
No full textClimate variables and water isotope output data from an ECHAM4.6-slab ocean model simulation of a mid-Holocene scenario
Green Grass Park (Split Language Labels) - A SESAME Research Tool
No full textIn the domain of speech elicitation, it is well understood that participants speak differently when producing different kinds of speech. In particular, speakers tend to use more ‘standard’ pronunciations when reading individual words in isolation, as compared to reading words within the context of a sentence, or talking freely off-the-cuff (Labov, 1966). When speakers have a complex task to achieve (e.g., describing everything they can see in a complex picture, speakers typically monitor their speech less, and default to more informal speech styles. We designed a picture description task called Green Grass Park to elicit a small sample of naturalistic speech. Along with other SESAME Research Tools, the Green Grass Park task was designed with multilingualism in mind.
This version of the task has been created to elicit speech from bilinguals, which may include word forms in more than one language. Each split-language version has been created from a version with fully bilingual labels, by removing half of the labels for each language.
Illustrations by Seraphina Fong in collaboration with author team