Natural language generation (NLG) is the process of artificial intelligence interpreting data and presenting or displaying the data in a digestible, easily understood manner. These tools are used when processing large data sets, structured or unstructured, to create business actions based on the data. The data is presented as a written report or a dashboard of charts and graphs, among other presentation types. The generation is entirely done by artificial intelligence and is best aligned with business needs of the specific user. NLG solutions can work as a tool for data scientists or analysts and in some cases even supplement the need for such positions. They can also be used by less technical job positions when attempting to apply meaning to data. Often these projects work in conjunction with a business intelligence solution or a big data analytics platform, among other software.
To qualify for inclusion in the Natural Language Generation category, a product must:
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Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind's groundbreaking research in WaveNet and Google's powerful neural networks to deliver high fidelity audio.
IBM Watson Text to Speech is a service that provides a REST API to synthesize speech audio from an input of plain text, with multiple voices, both male and female, are available across Brazilian Portuguese, English, French, German, Italian, Japanese, and Spanish. Once synthesized in real-time, the audio is streamed back to the client with minimal delay and it enables developers to control the pronunciation of specific words.
A software that writes unique content from data. Natural Language Generation software in the cloud: Providing an API for data to written content in any language 1. Powerful text generation The AX Semantics Natural Language Generation Platform creates meaningful written content. You can use it to create any kind of text: product descriptions, news articles, business reports, documentation and much more. This content is perfectly similar to human written content – because it is interpreting your editorial input. 2. Any content - any language We currently provide 24 languages, including but not limited to english (US and GB), german, arabic and chinese. All other languages are available via our early access program. All content is being generated in the native target language – but can be based on polyglotty data, enabling you for example to generate french content from spanish data. 3. A tool for Editors, no Developers needed Our tools give you access to the complete Natural Language Generation toolchain - including all possible grammatical functions, data extraction and detection means and delivery methods. 100% SaaS: Everything is available from your desk via your browser. No programming skills, no SDK needed. 4. Fully automated Content Since everything is provided via API, you can completely automate your content production. Upload data and get the generated text back via easy REST API Calls or use instant Webhooks. We provide real-time content production and scale up to millions of texts per day!
Arria NLG Platform is a platform that combines cutting-edge techniques in data analytics, artificial intelligence and computational linguistics, it analyses large and diverse data sets and automatically writes tailored, actionable reports on what's happening within that data, with no human intervention, at vast scale and speed.
Phrasetech provides a scalable end-to-end solution for content creation, control and optimization. Our Natural Language Generation system (NLG), powered by innovative AI technology, enables the production of engaging conversational texts at unprecedented volumes and superb quality.
Synthesys is a solution that adds the brainpower of thousands of people to a team. by reading through all data and highlights the important people, places, organizations, events and facts being discussed, resolve highlighted points and determines what's important, connecting the dots together and figures out what the final picture means by comparing it with the opportunities, risks and anomalies that are looking for.