Linguistically annotated corpora are essential for linguistic and digital humanities research, but errors in part-of-speech tagging and lemmatization can impact their reliability and usefulness. Manually verifying and potentially fixing these annotations ensures higher-quality datasets for analysis, which in turn lead to more confident research results. LAnCeLoT simplifies this revision process by providing an intuitive, interactive…