What is Natural Language Generation (NLG) & where is it used?

The acronym NLG stands for Natural Language Generation. Natural Language Generation is a subfield of artificial intelligence. NLG programs analyze structured data and translate them to text. If you have a lot of data-driven information that needs to be articulated, you can feed a Natural Language Generation Software like ours from AX Semantics with it.

What is the use of Natural Language Generation?

Many texts are based on complex sets of data. Hiring humans to turn data into texts is both time consuming and expensive. An NLG software for Automated Content Creation can take over this task faster and cheaper – if the structure of the data and the required texts in essence is always identical. The benefit of NLG therefore is mainly an economic one.

How does Natural Language Generation (NLG) work?

You train a Natural Language Generation software to pull out relevant information from a set of structured data and include the information in a sentence or paragraph.

Our very own software for Automated Content Creation works with JSON-files. Those can contain all sorts of information. In so-called “projects” you can configure the software to focus on certain information and to ignore or exclude irrelevant data. The orders you write are similar to what writing a program would look like:

If FIELD A contains INFORMATION B, do TASK C.

In a next step, you write a generic text and link single sentences or whole paragraphs with the orders you wrote. This way, the variable information is included in the text.

What you end up with are texts that are similar in structure but different when it comes to the content. Depending on your preference and how you use our software, each sentence may sound the same or completely unique. Either way, the software is programmed to make sure you get no two texts that are identical as to avoid creating duplicate content. AX Semantics NLG software supports 110 languages, so you can easily implement a multilingual project. All you have to do is translate the content parts. Logics and rules can be taken from the source language.

What are the benefits of Natural Language Generation?

If used correctly, NLG has a lot of benefits. Not only can you save time to write data-driven content. You can also scale your content creation. Once set up, you only need to update your data and make a few clicks to generate thousands of new and unique texts. Whenever the data changes, the texts are updated, making sure your content always contains the most recent information.

So, what Natural Language Generation software can promise you, is

  • Time Savings
  • Human Resource Savings
  • Scalable Automated Content Creation
  • Up-to-date content

What is the difference between NLG and NLU (Natural Language Understanding)?

Often, Natural Language Generation is seen as the opposite to the also-popular Natural Language Understanding, a form of computer process where the existing language is broken down into structured and easy to understand data. NLG provides the opposite function, taking data and transforming it into readable, grammatically accurate copy that can be used online, in reports and many other places.

Content created using NLG can be:

  • highly tailored and targeted to a particular audience
  • transform information or data into a more understandable form

How is Natural Language Generation used?

Natural Language Generation is an increasingly popular tool used by businesses and companies of all shapes and sizes. It provides an effective and practical way to translate large volumes of data into meaningful copy that is easier to understand, more functional to use and more deliberate in the targeting of its audience. You need a Natural Language Generation Software if you write or need

  • similar texts with variable details
  • texts based on data or statistics

Some of the main uses for NLG include:

1. Automate readable financial or medical reports from dataOne of the primary design functionalities of NLG is the ability to turn raw information into easy-to-understand reports and documents, especially when it comes to high volumes of data or information that require precise translation. NLG takes these pieces of information, and using the AI it is equipped with, creates content that reflects the results and analysis of this data. This functionality makes NLG highly suited for finance, scientific and business fields where accurate reporting and credible reports are a must. This also applies for the used of NLG for reporting statuses and maintenance within both closed databases and broader systems

2. Generate high-volume content for web applications and mobile toolsAlongside more traditional data-driven content, NLG can also be used to produce high volumes of relevant, grammatically-accurate content for use in the population of websites, mobile applications and more. While this content may still need amendment and additional creative design, especially with more emotive language and localisation, NLG can be used as a tool to reduce the time and energy spent on creating volumes of content that would otherwise be high-cost if completed directly by a human. Utilising an understanding of the target audience and the ability to mimic styles of speech and tone, NLG tools are capable of creating highly effective and high-quality content quickly and easily.

3. Create hyper-personalized customer communicationsWhile it may seem like the least apparent use of Natural Language Generation, this unique functionality is one of the key benefits of using AI within a business that provides active customer service. A well-designed and targeted NLG system can offer efficient customer communications and support, commonly seen as an AI chat function on many different brands’ websites and platforms. NGL is perfectly designed to this functionality, thanks to its ability to be flexible depending on the specific requirements of the customer.

Where is NLG used?

Natural Language Generation is around the world, as well as by individuals in need of the fast, convenient and accurate creation of large volumes of content. As the modern version of a ‘text robot’, NLG is far more reliable, functional and practical than past AI iterations, making it a valuable addition to the toolkit across countless businesses and industries. Content creation can be a strain on many services where there isn’t a budget to hire copywriters or content creators for high volumes of text creation. Still, NLG provides a solution to create that content quickly and easily without the need for additional costs.

Beyond the convenience and effectiveness of Natural Language Generation, content automation is also a valuable and practical way to gain access to reporting quickly and easily, in a format that’s designed to be readable and understandable. The ability to effectively target an audience, and create content based on these specific requirements and the data provided, makes NLG uniquely suited for the creation of business reports and essential data analysis in sectors such as scientific studies, financial industries and business development and analysis.

Natural Language Generation for small companies & large corporations

Our clients are often middle-class companies to big enterprises. Especially online marketeers with extensive online shops are turning towards our Natural Language Generation software to automate product descriptions or content for category pages. However, it is also popular with those who work with a lot of data, like analysts who work with risk and compliance reports or finance sheets. It is also interesting for companies in Medical, Pharma, Finance and Banking, or Engineering industries. Our list of clients speaks for itself and gives an impression on what business fields rely on our Automated Content Creation software.

Is Natural Language Generation for me?

If you think Natural Language Generation might be the ideal choice of content automation for your requirements, you’re not alone. Join countless businesses bringing AI into their day-to-day processes. Contact us today to find out more, or take a look at our existing content and articles to learn a little more about what Natural Language Generation could do for you.

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