Key Conversational AI Component Technologies


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Natural Language Processing(NLP)

the ability to read or parse human language text


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Intent Recognition

the ability to understand what the user is requesting, even if phrased unexpectedly, and vital for good user experiences.

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Machine Learning

The ability to learn how better to respond to users by analysing human agent responses


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Fulfilment

the ability to pull data from web services or databases using Application Program Interfaces(APIs), run conditions and inform the Dialog Manager.

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Voice Optimised Responses

The ability to engage in conversation in a humanlike manner and show emotions to deliver an optimised experience.

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Dynamic Text to Speech

converting written text to natural-sounding speech, supporting diverse languages, voices and accents, and allowing emphasis of capital letters and tonal inflection.

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Entity Recognition

understanding that some data refers to informative abstract categories, or entities. For example that “October 4th’ = Date. A key requirement for more complex commands and analysis.

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Contextual Awareness

The ability to follow conversation history, translate, recall and memorise information over conversations. Essential for natural, humanlike conversations.

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