Natural Language Processing

We can see the technology in action when we speak into devices via Apple’s Siri and Amazon’s Alexa. These applications use sophisticated speech recognition and function by picking up speech, interpreting its meaning, then providing a response or acting on a command.

This kind of voice control is a relatively new development, however, it is already changing the way we interact with the world around us. The capabilities of NLP are advancing at an impressive rate, so it’s an exciting field to be involved in.

n the past, interpreting written or spoken language was a skill exclusive to humans. This meant that any linguistic communication had to involve a human, at least as a middleman. For example, any text had to be written by a person and then read by another person to extract the information from it.

And this absolutely fine if you just want to read a newspaper or a couple of chapters of a book. However, when you want to digest large amounts of information or search for something specific within a large source, the whole process becomes extremely time consuming.

Since roughly the 1990s, NLP has been benefited massively from the use of machine learning algorithms. A process called statistical inference is used to detect patterns and learn rules with minimal or no human input, making modern NLP programs exponentially more powerful than they were just 20 years ago.

Get in touch with the team to see how we can help you.