AI and chatbots: How to design a great conversation?

[fa icon="calendar'] May 11, 2021 5:52:38 PM / by Bitext posted in API, Machine Learning, NLP, Big Data, Bitext, Natural Language, Artificial Intelligence, Deep Learning, Chatbots, Phrase Extraction, NLG, TechCrunch, NLU, AI, Multilanguage, NLP for Core, NLP for Chatbots

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The following practices will help you design a great conversation between your chatbot and your client:

  • Transparency
  • Avoid using an excess of predetermined links and buttons
  • Use an NLP middleware approach
  • Include politeness and small talk
  • Tolerate typos and slightly ambiguous formulations
  • Always include domain specific terminology
  • Define your bot's tone
  • Keep the number of possibilities limited
  • Let the user know when the bot is "thinking" or processing the query

Reducing complicated, confusing processes down to a natural conversation is potentially a huge business opportunity for anyone willing to jump headfirst and create a great user experience. Chatbots are only as smart as the words you feed them. If a bot is too rudimentary, people will lose trust in the company and will feel ignored and unappreciated. UX problems appear when the user deviates from the designed linear flow.

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What is the difference between stemming and lemmatization?

[fa icon="calendar'] Apr 5, 2021 4:35:03 PM / by Bitext posted in Machine Learning, NLP, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, Stemming, AI, Multilanguage, Lemmatization, NLP for Core, NLP for Chatbots, Conversational AI

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Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word while lemmatization, the context in which the word is being used. We'll later go into more detailed explanations and examples.  

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Siri Speaking Arabic: What Is Failing?

[fa icon="calendar'] Apr 1, 2021 2:04:30 AM / by Bitext posted in NLP for Core

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Almost three years after Apple launched its well-known voice assistant Siri for the Arabic language, there is still room for further improvement. Siri can currently understand more than 20 languages and dialects; but, when it comes to Arabic, its abilities are not good enough to fully understand what users need. Several utterance errors together with poor understanding skills are quite frustrating for Arabic speakers. What’s going wrong here?

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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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Why is Bitext's Text Generation Unique?

[fa icon="calendar'] Nov 16, 2020 7:15:12 PM / by Bitext posted in Machine Learning, NLP, Bitext, Natural Language, Artificial Intelligence, Deep Learning, Chatbots, NLG, Multilanguage

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