Learn how a computer is able to generate content using the latest advances in natural language generation, plus some guidelines to keep your content useful.

Microsoft and partners are building an open toolkit to add natural language interfaces to web content, using the Model ...

In this article, we have explored some of the best Python libraries for Natural Language Processing. These libraries provide a wide range of functionalities, ...

What is "Natural Language Generation"? Natural Language Generation (NLG) refers to the use of artificial intelligence to produce human-like text based on structured or unstructured data inputs.

What is natural language processing? Natural language processing, or NLP, is currently one of the major successful application areas for deep learning, despite stories about its failures.

Many of the companies I’ve talked with this year are involved in Natural Language, both in processing (NLP) and generation (NLG). The former is the easier problem (not to imply it is easy), as ...

The natural language generation (NLG) market is undergoing significant growth, propelled by various key factors and market drivers.

Natural language generation is exactly what it sounds like — it is the use of artificial intelligence and machine learning to create and generate language.

Natural language processing is a branch of AI that enables computers to understand, process, and generate language just as people do — and its use in business is rapidly growing.

Python, meanwhile, is an interpreted language, which means that its human code is converted into machine code line-by-line as the program executes, enabling it to run without first being compiled.