NLP (Natural Language Processing) (معالجة اللغة الطبيعية)
Natural Language Processing (NLP) is the branch of artificial intelligence that lets computers understand, interpret, and generate human language. It powers chatbots, translation, sentiment analysis, and voice assistants by turning raw text or speech into structured meaning a machine can act on.
In Iraqi dialect
تقنية تخلي الحاسبة تفهم كلامنا
In detail
Humans communicate with ambiguity, idioms, and context — exactly what computers struggle with. NLP bridges that gap using techniques from statistics to deep learning. It tokenizes text, identifies parts of speech and entities, detects intent and sentiment, and generates coherent responses. Modern NLP is largely built on transformer models and large language models that learn from enormous corpora. In business it drives chatbots that understand questions, tools that summarize documents, translation engines, and voice agents that parse spoken Arabic, English, or French. The better the NLP, the more natural and accurate the interaction feels.
Practical example
A bank's chatbot uses NLP to understand a customer asking to freeze a lost card, then triggers the action automatically.
Frequently asked questions
What is NLP used for in business?
Chatbots, translation, document summarization, sentiment analysis, and voice agents that understand spoken requests.
Is NLP the same as a large language model?
No — NLP is the whole field; an LLM is one powerful type of model used to perform many NLP tasks.
Related terms
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