Natural Language Processing (NLP)
The field of AI focused on enabling computers to understand, interpret, and generate human language.
In-depth explanation
NLP combines computational linguistics with machine learning to process text and speech. Tasks include text classification, named entity recognition, machine translation, question answering, and text generation. Modern NLP is dominated by transformer-based models like BERT and GPT that achieve remarkable performance across diverse language tasks.
Examples
Related terms
More in Natural Language Processing
Tokenization
Breaking text into smaller units (tokens) such as words, subwords, or characters.
Word Embedding
Dense vector representations of words that capture semantic meaning and relationships.
Named Entity Recognition (NER)
Identifying and classifying named entities in text into categories like person, organization, location.
Sentiment Analysis
Determining the emotional tone or opinion expressed in text, typically positive, negative, or neutral.
BERT
Bidirectional Encoder Representations from Transformers, a pre-trained language model for NLP tasks.
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