Teaching computers to make sense of human language has long been a goal of computer scientists. Natural language processing algorithms aim to make sense of it.

We’ll break that down further in the next section. Historically, natural language processing was handled by rule-based systems, initially by writing rules for, e.g., grammars and stemming.

Natural language processing (NLP) is one component of intelligent automation, a set of related technologies that enable computers to automate knowledge work and augment the productivity of people ...

Learn the basics about natural language processing, a cross-discipline approach to making computers hear, process, understand, and duplicate human speech.

Here are some more applications of natural language processing: Email assistant: Auto-correct, grammar and spell check, as well as auto-complete, are all functions enabled by NLP. The spam filter ...

Natural language processing (NLP) is one of the most important frontiers in software. The basic idea—how to consume and generate human language effectively—has been an ongoing effort since the ...