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N-gram Language Models in NLP by Soham Roy is a document available to read on EtoBox.

What is N-gram Language Models in NLP about?

The document discusses N-gram language models in natural language processing, focusing on their application in word prediction, speech recognition, and machine translation. It explains how to compute probabilities of word sequences using the Chain Rule and the Markov assumption, and introduces techniques for estimating these probabilities, including smoothing methods to handle sparse data. Additionally, it highlights the importance of training and evaluating language models on representative corpora to ensu

Author

Soham Roy

Language

EN