Deep learning has improved machine translation and other natural language processing tasks by leaps and bounds Credit: Bet Noire / Getty Images From a friend on Facebook: ...

As mentioned above, natural language processing is a form of artificial intelligence that analyzes the human language. It takes many forms, but at its core, the technology helps machine understand ...

The shortcomings of natural language understanding can make or break your AI and neural machine learning strategy. Here's how to deal.

By Clement Delangue, CEO of Hugging Face Clement Delangue is the co-founder and CEO of Hugging Face, a startup focused on natural language processing that has raised more than $20M. The company ...

People have been trying to use computational methods to analyze human language for over 50 years, but it's only recently that NLP has come into its own. Natural language processing is a type of ...

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

These days, NLP has gone far beyond being merely a better input method. The latest research breakthroughs enable machine learning algorithms to understand, assess, and even synthesize text and ...

Natural language processing (NLP) and conversational AI are often used together with machine learning, natural language understanding (NLU) to create sophisticated applications that enable ...

We’ve already got machine-learning and NLP that can translate speech into any number of languages. Surely adapting that process to animal calls shouldn't be that big of a stretch?

2- A natural language processing (NLP) library: Choose an NLP library that can help your system understand the intent behind the user's voice commands.