What is natural language processing?
Natural language processing, or NLP, develops computational methods for analyzing and generating human language in text and speech.
How it works and where it is used
1. How it works Text is tokenized and represented numerically. Attention-based models such as transformers learn relationships, but fluency does not guarantee truth or understanding. 2. Applications and examples Search, translation, subtitles, classification and writing aids are uses. Dialects and context create multiple interpretations.
Limits and good practice
3. Limitations and security Models can invent facts, reflect bias and expose sensitive text. Evaluation must consider accuracy, safety and performance across languages. 4. Practical considerations Respect data permissions, avoid unnecessary private inputs, verify high-stakes outputs with people and sources, and retest after changes.