Natural Language Understanding (NLU) for Audio Requires a Highly Accurate and Fast Speech to Text Foundation

[fa icon="calendar'] Mar 31, 2021 6:44:06 PM / by Bitext and Deepgram posted in NLP, Artificial Intelligence, Chatbots, NLU, AI, Multilanguage, NLP for Chatbots, IVR, voicebots, improvement of NLU models, ASR, Deepogram

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As companies consider adding voicebots to their customer service, they are experiencing the same "Achilles’ heel" with NLU voicebots as they do with chatbots.These issues are the following (the fourth one only applies to voicebots):

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NLU Chatbot Evaluation- 3 Common Errors and 5 Key Steps

[fa icon="calendar'] Feb 18, 2021 10:40:13 PM / by Bitext posted in Natural Language, Artificial Intelligence, Chatbots, NLU, RASA, AI, NLP for Chatbots, aws

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NLU vs. ITR Chatbots... Which one should I use?

[fa icon="calendar'] Oct 15, 2020 5:03:33 PM / by Bitext posted in Machine Learning, NLP, Natural Language, Artificial Intelligence, Chatbots, NLU, AI, NLP for Chatbots

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Noisy text is realistic text

[fa icon="calendar'] Feb 24, 2020 4:45:00 PM / by Bitext posted in API, Machine Learning, NLP, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, NLG, NLU, Query Rewriting, AI, Multilanguage, NLP for Core, NLP for Chatbots, NLP for CX, "Multilingual synthetic data"

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One of the flaws of usual training data generation is that, when you ask somebody to manually create training data for you, they will make an effort to write these sentences correctly, following the spelling and punctuation norms of your language. Even if some errors appear, they will be minimal, because they are trying to do things right —this is, to provide “orthographically right” sentences.

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From the eCommerce problem to the chatbot solution: Part II

[fa icon="calendar'] Jan 30, 2020 4:44:17 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data"

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A chatbot offers significant advantages: it allows your customer support to be omnichannel —i.e. customers will be able to approach you via written chat, voice chat, email, phone, etc.—; it will save you the costs of hiring many additional employees, while sparing you the need of training agents every time your product changes; your customers’ satisfaction will increase; finally, you will get more and more sales (because well-taken-care-of visitors tend to become loyal and regular customers).

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From the eCommerce problem to the chatbot solution: Part I

[fa icon="calendar'] Jan 28, 2020 4:15:00 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data"

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Let’s repeat: more and more people (customers, or prospective customers) prefer eCommerce these days. They have learnt the comfort of buying from their home, without having to take their car or the public transport to personally go and buy at each store. As always, each option has its advantages and disadvantages, but eCommerce has become a common trend now.

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