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5 Examples of Natural Language Processing (NLP)

Among the most revolutionary and challenging aspects of what AI can do is to understand, listen, write, and speak a human language known as Natural Language Processing (NLP)

Natural language processing (NLP ) is a type of artificial intelligence that derives meaning from human language in a bid to make decisions using the information.

This particular technology is still advancing, even though there are numerous ways in which natural language processing is utilized today.

This post highlights several daily uses of NLP and five unique instances of how technology is transforming enterprises.

Everyday Roles of NLP

On a daily basis, human beings communicate with other humans to achieve various things.

However, communication goes beyond the use of words – there is intonation, body language, context, and others that assist us in understanding the motive of the words when we talk to each other.

This is what makes NLP, the capability of a machine to comprehend human speech, an amazing accomplishment and one technology with a massive potential to affect a lot in our present existence.

Currently, NLP takes credit for a broad variety of applications.

Most of us own virtual assistants in the form of Google Home or Amazon Echo and enjoy interacting with a computer via a conversational interface powered by NLP or natural language processing.

Many enterprises are looking at ways in which conversational interfaces can be transformative since the tech is platform-agnostic, which means that it can learn and provide clients with a seamless experience.

Natural language processing (NLP) is behind the accomplishment of some of the things that you might be disregard on a daily basis.

For instance, when you request Siri to give you directions, it is natural language processing technology that facilitates that functionality.

MORE: 9 Everyday Examples of Artificial Intelligence Now

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MORE: 30 Artificial Intelligence Examples in 10 Industries

Here are several applications of NLP that you should know:

Email assistant

Auto-complete, auto-correct as well as spell and grammar check make up functions that are powered by NLP.

The spam filter found on your email system utilizes natural language processing to assess which emails you prefer keeping in your inbox and which ones are likely to be spam and need sorting out.

Answering questions

In case you have interacted with a website chat box or shopped online, you could have been interacting with a chatbot instead of a human being.

These artificial intelligence customer service experts are algorithms that utilize natural language processing (NLP) to comprehend your question and reply accordingly, in real-time, and automatically.

Drives e-commerce

Natural language processing enables better search results whenever you are shopping online.

It is starting to become perfect at decoding the motive behind your message even when there are important details or spelling errors omitted in your search terms.

By making an online search, you are adding more information to the existing customer data that helps retailers know more about your preferences and habits and thus reply to them.

Gartner forecasts that 85% of all customer interactions will be managed without any human involvement by 2020.

Extracting and summarizing information

Natural language processing (NLP) can help in extracting and synthesizing information from an array of text sources, including user manuals, news reports, and more.

After acquiring the information, it can leverage what it understood to come up with decisions or execute an action based on the algorithms.

MORE: Tableau’s Uses NLP in Responding to Sales Queries

5 Outstanding Examples of Natural Language Processing

1. NLP to assist individuals with disabilities

Natural language processing (NLP) assists the Livox application to become a communication device for individuals with disabilities.

The invention of Carlos Pereira, a father who came up with the application to assist his non-verbal daughter start communicating, is currently available in about 25 languages.

2. NLP Assisting the deaf

SignAll is another tool that is natural language processing-powered.

It helps in converting sign language into text.

As such, the app can assist individuals who are deaf to interact with those who do not understand sign language.

3. Machine Translation

Machine translation is a massive application for natural language processing that enables us to conquer the challenges of communicating with individuals across the globe as well as comprehend tech catalogues and manuals that are written in a foreign language.

4. Google Translate

Google Translate is utilized by 500 million individuals each day in understanding over 100 world languages.

5. NLP usage in Aircraft Maintenance

NLP technology is currently being employed in aircraft maintenance.

The technology not only assists mechanics in synthesizing information drawn from massive aircraft manuals but also in finding meaning, primarily in the definition of handwritten or verbally reported problems from pilots as well as other human beings.

Even though the issue is sophisticated, there is currently ongoing work to have NLP play a major role in predictive police activity in a bid to recognize the motive behind crimes.

With industry leaders continuing to explore and come up with NLP improvements, for instance, Amazon’s Alexa division by utilizing a neural network to convey learning, we can anticipate natural language processing to become better for business in the future.

MORE – Computer Vision Applications in 10 Industries

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KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
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