The principles of language processing involve fundamental concepts in natural language processing (NLP), including tokenization, part-of-speech tagging, syntax parsing, semantics, named entity recognition, sentiment analysis, and machine translation. These principles form the basis for understanding, analyzing, and generating human language, contributing to applications like virtual assistants, translation systems, and sentiment analysis tools.