Natural language generation, or NLG, is a computer program process that generates natural language output using simple rules. While it’s widely accepted that the final output of any NLG procedure is text, there’s some disagreement as to whether or not the input of an NLG application should be purely linguistic. The debate centers upon whether or not natural language generation should retain all parts of natural language (words, phrases, and idioms) or only use selected parts. Proponents of natural language generation feel that the final output will still have elements from natural language, while opponents of natural language generation feel that the final output will be completely synthetic or computer-generated.
Using natural language generation software has its benefits. It is one of the technologies important for business. Some programs can automatically create and publish books; they can also do research and document management. However, some proponents of natural language generation software are claiming that these programs can also be used to automate many other types of business and non-business situations. Some programs can even replace human editors, increasing the chances that articles, emails, and other types of documents will be completely accurate and free from errors. If you’re interested in using a natural language generation application to automate the production of texts for the purposes of building business presentations, here are some ideas on what you could do.
* Data-Driven Conversational Hypnosis.
This type of natural language generation takes the principles of natural language generation and applies them to covert hypnosis. Instead of a person delivering an insight, the software analyzes data and extracts the insights automatically from large volumes of text. The software can then present this information in the form of a narrative or audio file, and because of the high quality of the content, you may not even realize that you’re reading or listening to a story or audio recording which is generated by a machine.
* Product Descriptions.
Natural language generation programs that generate product descriptions may be very useful in content creation. Because the data is already available in a narrative format, it can be used to create a narrative that describes the product in question. You can then use that narrative to describe the various features and benefits of the product in terms that customers can easily understand. A great aspect of this technique is that you’ll be able to use the same information but in a more natural format.
* Communicate Ideas.
Another way that a natural language generation program can be useful in content creation is when it’s used to communicate ideas or concepts. This doesn’t mean that you need to go out and write entire essays or even novels, but you can use the information generated by the software in other ways. For instance, you could compile a short email with a few screenshots of each graphic image, along with a description of each one. When you send this email as a reply to someone, it will be easy for the recipient to see the graphics and short blurbs and understand what you’re trying to say.
* Online Publishing.
The third use for natural language generation is as a means of automated journalism. This is useful in many situations because the information is generated from natural languages, rather than from a human source. For instance, if you have an online blog, you can use this tool as a means of automatically publishing your blog post to a site that automatically creates and publishes news articles based on keyword tags. In this manner, you don’t need to have a team of journalists working in-house for years on end – all you need is an inexpensive piece of software.
The beauty of using natural language generation to create content is that it can be updated or modified by its owner or anyone who uses it. This is another reason why you don’t need to hire a team of writers to write for your website or blog. As a matter of fact, you can make updates to the software process itself. For instance, if you find that one of your articles is no longer producing the desired results, you can easily change the wording or the context of the sentences in order to attract a greater audience and drive more traffic to your site.
To sum up
Natural language processing technologies are in their early stages, but they have already proven to be very useful for many businesses and consumers. Indeed, recent technological innovations will help us even further along the path towards artificial intelligence, such as voice recognition, natural language generation androids, and other technologies. With advances in artificial intelligence, we can likely expect to see many more improvements in artificial intelligence applications in the near future.