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LAB: Linguistic Annotated Bibliography - a searchable portal for normed database information
Erin M Buchanan1, K D Valentine2, Nicholas P Maxwell3
1Missouri State University, Springfield, MO, USA. erinbuchanan@missouristate.edu.
Behavior Research Methods
|October 5, 2018
Summary
The Linguistic Annotated Bibliography (LAB) is a new web portal providing easy access to linguistic database norms and research trends. It enables researchers to find specific experimental stimuli and explore publication patterns over the last century.
Area of Science:
- Linguistics
- Psycholinguistics
- Computational Linguistics
Background:
- Accessing reliable linguistic database norms and experimental stimuli can be challenging for researchers.
- Existing literature searches may not efficiently capture publication trends or specific variable calculations.
Purpose of the Study:
- To introduce the Linguistic Annotated Bibliography (LAB) as a searchable web portal.
- To provide researchers with a tool for accessing database norms, related programs, and variable calculations.
- To facilitate the exploration of publication trends in linguistics over the past 100 years.
Main Methods:
- Developed a searchable web portal (LAB) by coding publications based on language, stimuli type, and keywords.
- Included metadata such as number of stimuli, keywords (frequency, semantics, valence), and other relevant information.
- Analyzed publication rates and keyword usage trends over a 100-year period.
Main Results:
- The LAB portal offers quick and easy access to a wide range of linguistic data and norms.
- Researchers can efficiently search for specific experimental stimuli (words, pictures, symbols).
- Analysis reveals an increase in dataset size and linguistic variables in recent decades, correlating with advances in computational power.
Conclusions:
- The Linguistic Annotated Bibliography (LAB) serves as a valuable resource for linguistic research.
- The portal aids in both targeted stimulus selection and broad trend analysis in the field.
- Increased computational power has driven growth in data size and complexity within linguistic publications.
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