Multilingual NLP Middleware for different use cases

  • Bot Automation for Customer Support

    Get a 24/7 automated customer support bot that can understand your users across languages with a 90% accuracy.

    What can we do for you?
    - Generate training data
    - Make your bot understand customers properly
    - Produce better search queries for your catalogue
    - Analyze what your customers say to take action
    - Reach over 90% accuracy
    - Analyze your bot skills and make it more conversational

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  • Automated Customer Feedback Analysis

    Automatically check what your customers say about your company with a 90% accuracy in 20+ languages. Take suitable measures.

    What can we do for you?
    - Identify customers trend topics & how they feel about them
    - Get a 90% accuracy guaranteed by contract
    - See at a glance what your customers talk about
    - Analyze your feedback and obtain actionable insights


    Learn More
  • NLP packages for building your engine

    Build the most accurate & multilingual NLP infrastructure to reduce the number of wrong answers.

    What can we do for you?
    - Make your NLP engine understand up to 50 languages (including Spanish & Hindi)
    - Reduce Machine Learning training time
    - Improve the understanding skills of your bot
    - Full NLP engine at your fingertips


    Learn More

Discover Our Solutions

“With its suite of capabilities [NLP Middleware], Bitext can improve the performance of almost any conversational engine and project.”

Bitext, AI Core Technologies Cool Vendor 2018

Bitext is a Gartner Cool Vendor in AI Core Technologies


Featured Services

Middleware for Bots

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Lemmatization

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Entity Extraction

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Downloadable Resources




From The Blog

  • How To Avoid Misunderstandings with an Effective Anonymization Tool
    Has your name or surname ever been mocked? In many languages, people are really embarrassed to have unusual names that make other people laugh. Some names and surnames are treated even as insulting or offensive in some cases.  ... Continue reading...
    Published on January 11, 2019By Ana Moreno
  • Smarter AI to Identify Languages: When Scripts Are Not Enough
    Did you hear that many people were banned at Twitter just by typing in Cyrillic? The reason was that thousands of Russian bots sent plenty of tweets in the two days preceding the EU referendum. It’s true that Russian language uses letters from the Cyrillic script, ... Continue reading...
    Published on December 29, 2018By Ana Moreno
  • Main Challenges for Word Embeddings: Part II
    A ‘word embeddings’ approach has been widely adopted for machine learning processes. While an extensive research has been carried out during these years to analyze all theoretical underpinnings of algorithms such as word2vec, GloVe or fastText, it is surprising that little has been done, in turn, ... Continue reading...
    Published on December 28, 2018By Ana Moreno
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