Old world
What is Natural Language Processing?
As a language technology, Natural Language Processing (NLP) has been around for several decades, and it has undoubtedly made remarkable strides in enabling machines to process human language. However, as we move towards a more advanced and contextual understanding of language, relying solely on NLP may not be the best long-term solution. NLP algorithms typically rely on rule-based approaches and statistical models, which can sometimes result in inaccurate or limited interpretations of human language. Moreover, these algorithms struggle to interpret language in the context of the conversation, which can result in errors and misinterpretations.
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New world
What is Natural Language Understanding?
Natural Language Understanding (NLU) is the new world of language technology, and it promises to revolutionise how machines understand human language. Unlike NLP, which mainly focuses on processing language by machines, NLU aims to enable machines to understand language more accurately and contextually. NLU algorithms use advanced machine learning techniques, such as deep learning, to interpret language in the context of the conversation, making it possible for machines to provide more accurate and personalised responses. Furthermore, NLU algorithms can understand the nuances of human language, such as idiomatic expressions, sarcasm and figurative language, which makes communication with machines feel more natural and intuitive.
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How AI-powered technology can help transform your contact centre
