Interactive Corpus Annotation

Proceedings of the Second International Conference on Language Resources and Evaluation (LREC 2000)

Abstract

We present an easy-to-use graphical tool for syntactic corpus annotation. This tool, Annotate, interacts with a part-of-speech tagger and a parser running in the background. The parser incrementally suggests single phrases bottom-up based on cascaded Markov models. A human annotator confirms or rejects the parser’s suggestions. This semi-automatic process facilitates a very rapid and efficient annotation.