Bitext NLP middleware fully automates the training of conversational bots. It increases bots’ accuracy and makes them more human-like. We help you enhance the user experience and create a more effective sales channel.Schedule your demo
Machine learning algorithms, whatever their applications are, require a lot of data to learn, and the data has to be tagged for each specific purpose. Typically, this data generation and tagging are done manually. However, this approach has three negative consequences when we talk about creating bots:
It consumes a lot of resources: time and human
If data is scarce, the bot understanding will be poor
Users are forced to talk like robots to be understood, so they will never engage with bots, and therefore, they will be dead
Bitext NLP middleware for bot training offers you the most flexible solution in the market to enhance the communication between humans and machines. By implementing our technology inside your bot, it will be able to understand users’ requests without forcing them to speak like robots and avoiding “I did not understand” replies.
Bitext NLP middleware integrates with every major bot training platform like Api.ai, Wit.ai, LUIS, Lex, Watson, and others. Our technology can automatically train a bot developed under Api.ai and achieve 100% accuracy compared to the 37% accuracy achieved by Api.ai alone. If you want to see our software in action schedule a personalized demo.
Allows you to skip manual training and to increase the accuracy. Reducing different user requests to a normalized form that captures the common meaning of all variants.
Book your demo to see how can you integrate this technology into your current chatbot development:
Our Natural Language Generation solution automates the process of corpus creation and collection and the manual coding of the hundreds of sentences your Machine Learning Algorithm needs to train your chatbot. If you have already set up your chatbot development process this solution will help you by quickly providing high-quality data ready-to-use during the training step.
Download a Data sample to see how easy is to save time using our Natural Language Generation Solution:
The creation of conversational chatbots is hard to scale up as it requires long development cycles with a lot of man hours and uncertain outcomes. Why is that? One of the reasons is the need of hand-tagged data to power intent engines like Dialogflow, Watson, LUIS, Lex, etc.
To add to complexity, every intent engine uses a slightly different tagging logic and format.
Bitext Automatic tagging technologies handle the annotation of data shortening the development cycles, bein consistent across all intents and entities, and avoiding standard human errors like subjectivity.
All data generated is presented in the ready to use format to use directly in for your preferred intent detection engine.
Use NLG together with Tagging to fully automatize the bot training pipeline.
To see how is possible to combine all these technologies we have taken Home Automatization as a scenario to develop a ready to be implemented home assistant that handles over 500 possible actions and thousands of entities and can be integrated with Google Home and Amazon Alexa. Check how it works:
Forget about spending time doing manual work.
Your bot ready to answer properly to your customers' requests.
Our software increases your bot accuracy no matter which platform you use.
Making your chatbot more conversational will increase your revenues since your user will feel more comfortable while interacting with it.
If you have any doubt or you would like to discuss any project you have in mind, do not hesitate to contact us! We will be happy to help you create a bot your customers will engage with.
José Echegaray 8 , building 3, office 4
Parque Empresarial Las Rozas
28232 Las Rozas
1700 Montgomery Street, Suite 101