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Chatbots and automatic speech recognition engines

The efficiency of NLP engines

A lot can be accomplished with NLP because the technology is able to match one field or task to a synonym but it is also able to match a pattern to a different field or task. Priority is given to the pattern match and this is accepted as positive recognition instead of the synonym match. NLP platforms will also provide customized exit and entry hooks. These things will be available as API endpoints which are used in the NLP engine in order to allow for the conversation flow to be taken in various directions based on specific rules and processes. It is also possible for developers to determine the behavior of the bot as well as the resulting dialog. As far as automatic speech recognition engines are concerned it is interesting to note that the text-to-speech option will enable users to listen to the message of the chatbot which is available in audio format. This can be of particular benefit for those users who are suffering from visual problems. There might also be other users who simply prefer to listen to chatbot messages instead of having to read those messages from a screen. Many of the available bot-building platforms are making use of natural language processing features.

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Features of bot-building platforms

It will be necessary to have specific sets of data before it will be possible to engage in activities such as training of text-to-speech. Sometimes it might also be necessary to train speech-to-text. Such data though might not be available for a particular language. However, many of the bot-building platforms provide functionality which enables users to convert additional words to increase efficiency by making use of a process of transliteration. Many of the systems will also support a variety of the commonly available languages which can be used for text-to-speech integration. When making use of the English language for the purpose of text-to-speech models this will also make it easier when users are seeking text-to-speech functionality for additional languages. It can also sometimes happen that users might find among the texts which are provided for text-to-speech for a particular language that it might also have texts written in other languages. One example is that you might find a business name which has been written in English and which is located in a Greek text. The problem when this is happening is that NLP systems may simply not be able to pronounce such words correctly. Before such issues can be resolved it will be necessary for the system to detect all of the available languages and to apply appropriate conversions. In many NLP systems, it can also happen that problems may be encountered when working with digits or other specific systems. This is solved by conversion from digital to word form especially as far as numerals is concerned which is located within the text-to-speech engine.

Understanding chatbot intelligence

There are extremely advanced solutions for chatbots which are presenting users with AI capabilities that result in very intelligent chatbots. These entities can provide interactions which are very humanlike and therefore more compatible. Chatbots with a superior intelligence capability can be more easily designed to analyze human emotions, to remember contexts and they are also able to learn more easily from information which is collected during subsequent interactions. When provided with an intelligence engine this can enable chatbots to better understand the context of a request or inquiry from the user as the chat session progress. Intelligence engines also make it possible for developers to make use of automated and unsupervised machine learning in order to perfect the NLP configuration which is used in a chatbot.

A short summary about chatbots

Chatbots are highly efficient artificial intelligence entities. When making use of natural language processing their abilities are substantially greater. This can make them especially useful to businesses and organizations. When they are also making use of machine learning and other intelligent capabilities their value is multiplied and they can provide businesses with tremendous benefits. They are extremely useful in customer care departments because of their ability to respond to consumer queries 24 hours a day. They are able to provide information regarding services and products and this will allow human resources to be better utilized which can streamline workflows and allows for more efficient organization. In this way, a company or organization can save a lot of money and this allows for rapid growth and increased profits. New technologies are also constantly emerging which is resulting in even more efficient chatbots.

Also see this: French articles from Avi Ben Ezra on Tech

About Avi Ben Ezra

As the Chief Technology Officer (CTO) and co-founder of SnatchBot and SnatchApp (Snatch Group Limited), Avi Ben Ezra leads the Group’s long-term technology vision and is responsible for running all facets of the tech business which includes being the architect of the platforms and UI interfaces. Avi has proven tech track record and 15+ years of demonstrated career success developing tech initiatives of organizations of varying size and scope. Avi possesses in-depth experience in developing digital market places within Fintech and AI.

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