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Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
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The Massive Auditory Lexical Decision (MALD) database.
Benjamin V Tucker1, Daniel Brenner2, D Kyle Danielson3
1Department of Linguistics, University of Alberta, Edmonton, AB, Canada. bvtucker@ualberta.ca.
Behavior Research Methods
|June 20, 2018
Summary
The Massive Auditory Lexical Decision (MALD) database offers free speech and psycholinguistic research data. This comprehensive dataset aids in exploring auditory responses and developing speech processing models.
Area of Science:
- Psycholinguistics
- Speech Processing
- Auditory Perception
Background:
- Lexical decision tasks are crucial for understanding word recognition.
- Existing datasets often lack comprehensive auditory and production data.
- A need exists for large-scale, accessible resources for speech research.
Purpose of the Study:
- To introduce the Massive Auditory Lexical Decision (MALD) database.
- To provide a freely available, end-to-end resource for speech and psycholinguistic research.
- To facilitate the exploration of auditory responses and model development.
Main Methods:
- Compiled time-aligned stimulus recordings for 26,793 words and 9,592 pseudowords.
- Collected response data for 227,179 auditory lexical decisions from 231 monolingual English listeners.
- Included precompiled listener- and item-level descriptor variables.
Main Results:
- The MALD database is a comprehensive resource for auditory lexical decision research.
- The dataset enables easy exploration of responses and comparison of models.
- Summary statistics and analyses of the data are presented.
Conclusions:
- The MALD database significantly advances speech and psycholinguistic research capabilities.
- It serves as a valuable tool for testing theories of word recognition and auditory processing.
- The free availability promotes wider research and model development in the field.
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