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).

Recently Published

Evaluating NLP models with written and spoken L2 samples (2024)

In Research Methods in Applied Linguistics
The relationship between L2 spanish proficiency and features of written lexical and lexicogrammatical use (2024)

In Applied Linguistics
Annotation Scheme for English Argument Structure Constructions Treebank (2024)

In Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)
Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use (2023)

In The Modern Language Journal
Span identification of epistemic stance-taking in academic written english (2023)

In Proceedings the 18th Workshop on Innovative Use of NLP for Building Educational Applications
Measuring the development of lexical richness of L2 Spanish (A longitudinal learner corpus study) (2023)

In Studies in Second Language Acquisition (Research Article)

Project Repositories

Ongoing Projects

We are using our argument structure construction (ASC) annotation tool to explore how the use of ASC characteristics (e.g., the strength of association between a verb and the ASC it employs) correlates with proficiency in second language writing and speaking.
We are currently refining the Lexicogrammatical Tagger (LxGrTgr) and assessing its accuracy across various registers.
We are nearly finished drafting our second report on POS tagging and dependency parsing for L1 and L2 texts that represent both spoken and written registers.