Welcome to the LCR-ADS Lab
The LCR-ADS (Learner Corpus Research and Applied Data Science) lab at the University of Oregon conducts linguistic research related to language development and assessment (primarily with second language users). We develop, test, and implement linguistic analysis methods, collect and annotate corpora, and develop and evaluate language assessment tools (primarily related to language production tasks).
Projects
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TAALES_ES (2023)
This repository includes the code for the Spanish Version of TAALES.
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ASC-Treebank (2023)
This repository includes the Argument Structure Construction (ASC) Treebank.
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SL2E-Dependency-Treebank (2022)
This repository includes the Dependency Treebank of Spoken L2 English (SL2E).
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TAALED (2022)
This repository includes the tool for automatic assessment of lexical diversity.
Recently published
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Measuring the development of lexical richness of L2 Spanish (A longitudinal learner corpus study) (2023)
In Studies in Second Language Acquisition (Research Article)
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Evaluating Evidence for the Reliability and Validity of Lexical Diversity Indices in L2 Oral Task Responses (2023)
In Studies in Second Language Acquisition (Methods Forum)
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An Argument Structure Construction Treebank (2023)
In Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)
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A Dependency Treebank of Spoken Second Language English (2022)
In Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications
What we do
- We are currently developing a number of web applications for text analysis.
- We develop (often in collaboration with other labs) and maintain a range of linguistic analysis tools.
© 2024
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