Natural-Language Text Cannot Be Transformed Losslessly

A recent analysis argues that natural-language text cannot be transformed without loss. The author contends that every conversion alters meaning or nuance. This applies to compression, encoding, and format changes. The argument highlights the complexity of human language. It suggests limits for lossless text processing tools. Researchers are urged to reconsider expectations of perfect fidelity. The claim challenges assumptions in data pipelines. Future work may explore acceptable trade‑offs.