What is the definition of "chunking" in the context of NLP?

In the context of NLP, "chunking" refers to the cognitive process of both breaking down information into smaller, manageable parts and grouping those parts into larger units. This method allows individuals to process and retain information more effectively. For instance, when faced with a large amount of data, breaking it down into smaller chunks can help in understanding specific details, while grouping these details can facilitate the construction of a more comprehensive understanding of the overall content.

This dual aspect of chunking—decomposing information and then reassembling it into more meaningful clusters—reinforces how we can navigate and organize thoughts, enabling clearer communication and enhanced learning. By using chunking, practitioners can help individuals overcome information overload and make better sense of complex ideas.