Language Model
Learn how language models support spellcheckers by estimating the likelihood of word sequences using methods such as noisy channel, n-gram, and neural networks. This lesson guides you through implementing a probability function that predicts word correctness based on a large corpus, enhancing your ability to build effective spell correction systems.
We'll cover the following...
We'll cover the following...
What is a language model?
In the context of a spellchecker, a language model refers to a statistical model trained on a large corpus of text data to estimate the likelihood of word sequences in a specific language. It helps the spellchecker make intelligent suggestions for correcting misspelled words by considering the context in which the word appears. The equation is represented by , or the probability that ...