Technical GlossaryNatural Language Processing

Text Normalization

The process of standardizing raw text at the spelling, formatting, and character levels to make it more consistent and processable.

Text normalization is one of the most critical early steps in an NLP pipeline. Inconsistencies in casing, unnecessary whitespace, punctuation variants, character irregularities, and noisy social-media style expressions are handled at this stage. The goal is to reduce superficial noise while preserving semantic content before the data reaches the model. It has a direct impact on performance, especially in heterogeneous sources such as enterprise text, user feedback, OCR output, and conversational data.