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Tables, charts, pictures are all useful in understanding our data but often we need a description – a story to tell us what are we looking at. Accelerated Text is a natural language generation tool which allows you to define data descriptions and then generates multiple versions of those descriptions varying in wording and sentence structure.

About

Accelerated Text is a “data to text” natural language generation tool which allows you define data descriptions and then generates versions of those descriptions varying in wording and structure. It can work with much of your data:

  • Business metrics
  • Customer interaction data
  • Product attributes
  • Financial metrics

You can generate text for the range of cases. From your business reports to the e-commerce platform, to customer support applications.

Philosophy

Data descriptions require precision. For instance, a description of the weather conditions can not invent things beyond the provided data: Temperature: -1C, Humidity: 40%, Wind: 9km/h. Description can only state those facts — nothing more, nothing less. The expression of an event - temperature - could vary: "it is cold", or "it is just below freezing", or "-1C" but the point must be stated. A "data to text" system is not the one to elaborate on a story adding lines about the serenity of the freezing lake - it was not in the supplied data.

Accelerated Text follows the principle of the strict adherence to the data-bound text generation. It provides instruments to define how the data should be described and its natural language generation engine produces texts that are always and only about the data provided.

  • Open Source
  • Use our open-source software to build your own text generation applications.
  •  
  • Free



  • GitHub
  • Pro
  • Become an early adopter! We’d love to hear about your case and will help you build it.
  • On Request

    Annual license with extra suport for early adopters
  • Early adopter
  • Enterprise
  • We will implement a full-blown text generation pipeline for your organization.
  •  
  • On Request



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