The noisy channel model is a framework used to find the intended word given a scrambled version of it. It is commonly used in spell checkers, question answering, speech recognition and machine translation. It works by finding the most likely intended word given the scrambled input.
Carnegie Mellon University
Spring 2021
Focused on computational systems for human languages, this course introduces various NLP applications, such as translation and summarization. It encompasses a broad scope, from machine learning to linguistics, with a software engineering perspective.
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