What method is used by cognitive systems to understand human languages?

Natural Language Processing (NLP) is the method used by cognitive systems to understand human languages. It involves a range of techniques that allow machines to interpret, generate, and respond to human language in a way that is both meaningful and contextually appropriate. NLP combines linguistic principles with computational algorithms to analyze language data, making it possible for machines to understand grammar, context, tone, and even intent behind the words.

The effectiveness of NLP is seen in various applications, such as chatbots, machine translation, sentiment analysis, and voice-recognition systems, where understanding and responding to natural human language is crucial. This technology enables cognitive systems to process and analyze vast amounts of language data, adapting to nuances that are inherent in human communication.

While the other choices listed pertain to language processing in some manner, they do not encompass the full scope of techniques that NLP employs to enable cognitive systems to effectively understand and engage with human language.