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 environment for querying, inspecting, and correcting linguistic annotations. Researchers can review and refine corpus data, improving annotation consistency without requiring technical expertise.
LAnCeLoT integrates seamlessly with GaLAHaD, which is intended to provide the automatic linguistic annotation of historical Dutch texts. As a next step in the workflow, a user may verify and correct GaLAHaD’s annotation in LAnCeLoT. Currently LAnCeLoT supports the TEI P5 format.