NLP Framework

Start using our wide variety of NLP services. Now they are all in one place. Click on each of them to discover more.

  • Lemmatization

    Bitext Lemmatization Service identifies different variants of the same word (“go”, “went”, “gone”) without being misguided by apparent similarities (it won't relate "new" and “news"). This service works for over 50 languages.

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  • POS Tagging

    Bitext Part-Of-Speech Tagger assigns to each word within a sentence a POS such as “noun”, “verb”, “adverb”… It helps to solve disambiguation and make your work easier. This service works in more than 20 languages.

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  • Phrase Extraction

    Bitext Phrase Extraction service allows you to go beyond hashtags or keywords. It provides a comprehensive analysis of your data to extract the key phrases or concepts no matter the complexity and the type of text.

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  • Entities

    Bitext Entity Extraction service analyzes your text to extract entities (and their type, within over 16 types), to gather high-level knowledge on large amounts of documents, adding structure and connections to your data.

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  • Sentiment Analysis

    Bitext Sentiment Analysis service provides polarity, sentiment scoring, sentiment text and, most important, sentiment topic identification out of raw data with over 90% accuracy. It is offered in a wide variety of languages.

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  • Middleware for bots

    Bitext NLP middleware fully automates the training of conversational bots. It increases bots’ accuracy and makes them more human. Enhance the user experience and create a more effective sales channel.

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Featured Services >

Lemmatization

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Middleware for bots

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Entities

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Downloadable Resources

From The Blog

  • How to integrate Bitext in Chatfuel
    Chatfuel is one of the major chatbot development platform with thousands of bots published and working. Their success cannot be discussed, however for not specialized users, is hard to achieve the development of a fully conversational bot. Why? Because it takes too much tag manually all ... Continue reading...
    Published on October 20, 2017
  • How we trained our chatbot with one billion sentences
    A chatbot trained with 1 billion user requests sounds like science fiction, particularly in a field like AI, where scarcity of training data is a widespread problem. Bots need to be fed data that: ... Continue reading...
    Published on October 13, 2017
  • Starting with Natural Language Generation
    Lately, we have been talking a lot about Natural Language Generation and how revolutionary it can  be for chatbot training. But, what exactly is it? In this article, I am going to explain to you the fundamentals of NLG and how quickly it can be applied ... Continue reading...
    Published on October 06, 2017By Lorena Giusio
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