About this document
Unigram, Bigram, Trigram Models in NLP by shatakshit1402 is a document available to read on EtoBox.
The document provides an overview of language models used in Natural Language Processing (NLP), specifically Unigram, Bigram, and Trigram models. It explains how these models calculate probabilities of word sequences based on the independence of words or their preceding words, highlighting their advantages and disadvantages. Additionally, it discusses the N-gram model and real-world fixes like smoothing and neural language models to address limitations.
- Author
- shatakshit1402
- Language
- EN