The full form of NLT is Natural Language Technology.
Natural Language Technology encompasses various subfields within linguistics, computer science, and artificial intelligence (AI) dedicated to enabling computers to understand, process, and generate human language. This broader field includes Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG).
Here's a breakdown of the key components:
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Natural Language Processing (NLP): Focuses on enabling computers to process and analyze large amounts of natural language data. It includes tasks like text analysis, sentiment analysis, and language translation.
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Natural Language Understanding (NLU): Concentrates on enabling machines to understand the meaning and intent behind human language. It goes beyond simply processing words to interpreting context and extracting relevant information.
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Natural Language Generation (NLG): Deals with the automatic generation of natural language text from structured data. It allows computers to communicate in a human-like manner by producing coherent and grammatically correct text.
In essence, Natural Language Technology is a comprehensive field aiming to bridge the communication gap between humans and computers, allowing for more intuitive and efficient interactions.
