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Alterra NLP Engine converts natural language questions or commands to formal queries a computer can understand. It is powered by our phrase2vec sequence embedding algorithm. (It’s like word2vec, but for multiple-word queries.) Phraser semantic intent classifier and FAQ API QnA system are built on top of it. They are combined with our LSTM-based slot filler that extracts entities and parameters from phrases and returns them in a structured SQL-like format.
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Our software is written in Go (backend) and JavaScript (frontend). It runs on top of Linux, in Docker containers, controlled by Kubernetes, on AWS. Data is stored in MongoDB. Everything is in the cloud. Downloading is neither required, nor available. ...
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Our software, algorithms and other intellectual property are not open source.
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We are open to discuss partnerships. Please contact us at info@alterra.ai
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To get started, please create your Alterra account here. You can try Alterra Answers free for 30 days. No coding is required. However, for the system to work, you have to give it your FAQ and historical user queries. This Getting started guide explains how. ...
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No coding is required at all - just feed a training corpus of recorded conversations between humans into our artificial neural network. It will learn how to emulate humans. No regexs, no rules, no keywords, no ontologies, no nothing. It is 100% Machine Learning.
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Alterra Travel is tailored for the travel industry. It is a robotic travel agent. It is pre-trained. Just rebrand and go. Alterra Answers is good for any industry. ...
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We don't have an automated demo you would run by yourself. We will be happy to give you a guided demo over screen-sharing. To request it, please write to us at info@alterra.ai or leave your email here. You may also try our products, live, in action. This very bot you are using right now is powered by Alterra Answers. ...
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Machine learning ( ML ) is a subfield of computer science and artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. They learn by example, like children.