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What is Understanding Language Models in NLP about?

A language model assigns probabilities to sequences of words to indicate their likelihood of occurrence, ensuring that all possible sentence probabilities sum to one. Unlike formal grammars that classify sentences as valid or invalid, probabilistic models provide a soft decision-making approach, accommodating the ambiguity of real-world language. Applications of language models include speech recognition, machine translation, predictive text, and chatbots.

Author

Aniruddh Kumar

Language

EN