Building Chunker
- To explore and understand how the selection of features and the size of the training corpus influence the performance and accuracy of chunking in Natural Language Processing.
- To provide hands-on experience in building a chunker using different algorithms and feature sets, and to visualize the effect of these choices through interactive simulation.