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“Bitext can improve the performance of almost any conversational engine and project.”

Anthony Mullen

Bitext, Cool Vendor in AI Core Technologies

“Bitext can improve the performance

of almost any conversational engine and project.” 

Anthony Mullen

Bitext, Cool Vendor in AI Core Technologies

Success Stories

Working with 3 of the Top 5 largest companies in NASDAQ

Working with 3 of the Top 5 largest companies in NASDAQ

NLP Solutions for AI

Building an NLP engine requires deep technical knowledge to make it work

Natural Language is not a piece of cake. Processing the way people talk is a much more complex science than it seems and requires highly specialized resources. This leads to an expensive and laborious procedure in order to get AI ready to be used.

NLP Services

  • Improve your model with better word embeddings
  • Run your NLP engine on your device
  • Make your NLP engine understand up to 50 languages
  • Reduce training time of your Machine Learning models
  • Improve your bot’s understanding skills
  • Ready to go and easy to implement NLP engine

 

Train your bot on any platform

Multilingual Approach

More than 100 languages and variants available

improving-rasas-results-with-artificial-training-data-ii

Improving Rasa’s results by 30% with artificial training data: Part II

Increasing bot accuracy has never been so easy. How? Generating artificial training data, not manually, but using auto-generated query variations. We have benchmarked Rasa and other platforms, and their accuracy comes up to 93% thanks to Bitext artificial training data tech.

improving-rasas-results-with-linguistics-based-nlg

Improving Rasa’s results with artificial training data. Part I

Rasa, as other chatbot platforms, still relies on manually written, selected and tagged query datasets. This is a time-consuming and error-prone process, hardly scalable or adaptable.

Improving Rasa’s results by 30% with artificial training data: Part II

Increasing bot accuracy has never been so easy. How? Generating artificial training data, not manually, but using auto-generated query variations. We have benchmarked Rasa and other platforms, and their accuracy comes up to 93% thanks to Bitext artificial training data tech.

Improving Rasa’s results with artificial training data. Part I

Rasa, as other chatbot platforms, still relies on manually written, selected and tagged query datasets. This is a time-consuming and error-prone process, hardly scalable or adaptable.

Worldwide Language Coverage

Need More Info?

At Bitext, we focus on linguistic-based language automation to deliver innovative customer experiences. If you want to test our solutions or learn more, we recommend you schedule a personalized demo from one of our experts.

Request a Demo

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