Unit 7 - Leveraging Linguistics and Computer Science

Natural Language Understanding is concerned with interpreting the meaning, intention, and context of human language in text or speech. It is different from merely detecting sounds or words. Recognising object colours is a computer-vision task, measuring temperature uses sensors, and manufacturing physical objects is a mechanical or industrial process.

Summarising written text is a language-related AI task because the system must process words, identify important ideas, and produce a shorter version that preserves the main meaning. This belongs to Natural Language Processing, especially text summarisation. Object identification in an image is mainly computer vision, measuring tyre pressure uses sensing, and finding a shortest route is a navigation or optimisation task. Therefore, option C is the best answer.

Natural Language Understanding, or NLU, is concerned with interpreting human language rather than merely detecting characters. An AI system using NLU may identify the meaning, intent, or important information in a written sentence. Lifting a table and spraying paint are physical robotics actions, while measuring water level is a sensing task. Those activities may use technology or AI in other ways, but they do not specifically require understanding the meaning of language. Hence, A is correct.

The governing concept is the difference between data and information. Raw facts such as numbers, words, measurements, or observations that have not yet been organised or processed are called data. A computer accepts data as input, processes it according to instructions, and produces useful information or output. Thus, information is processed data, not raw facts, making option C correct.