Shallow parsing, also known as chunking, is a natural language processing technique that segments text into syntactically related groups of words, such as noun or verb phrases, without fully parsing the entire sentence structure. It provides a balance between the complexity of full parsing and the simplicity of mere tokenization, making it useful for tasks like information extraction and named entity recognition.