2 papers
cs.CL2022
Probing for targeted syntactic knowledge through grammatical error detection
Christopher Davis, Christopher Bryant, Andrew Caines +2
Targeted studies testing knowledge of subject-verb agreement (SVA) indicate that pre-trained language models encode syntactic information. We assert that if models robustly encode…
cs.CL2019
Neural Grammatical Error Correction with Finite State Transducers
Felix Stahlberg, Christopher Bryant, Bill Byrne
Grammatical error correction (GEC) is one of the areas in natural language processing in which purely neural models have not yet superseded more traditional symbolic models. Hybrid…