What technologies are commonly used in NLP?

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Answer

Commonly used technologies in NLP include machine learning algorithms, deep learning frameworks, and linguistic tools. Machine learning, particularly through models like support vector machines and decision trees, aids in tasks such as text classification and sentiment analysis. Deep learning frameworks, like TensorFlow and PyTorch, are used to build complex neural networks for tasks such as language modeling and translation. Additionally, linguistic tools, such as tokenizers and parsers, help in breaking down and analyzing text. Pre-trained language models like BERT and GPT have also become popular for their ability to understand context and nuance in language processing.

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