Which one of these is a goal of natural language processing (NLP)?

Which one of these is a goal of natural language processing (NLP)?

• A. To analyze structured data only
• B. To improve computational abilities
• C. To enable better human-computer interaction
• D. To eliminate the use of programming languages

Answer: (C)

Natural language processing (NLP) is primarily focused on enhancing the interaction between humans and computers through natural language, which encompasses spoken and written forms of communication. A key goal of NLP is to enable machines to understand, interpret, and respond to human language in a way that is both meaningful and contextually relevant. This facilitation of communication plays a pivotal role in developing applications such as chatbots, virtual assistants, and language translation services, making technology more accessible and user-friendly. The other options do not align with the core objectives of NLP. For instance, analyzing structured data is often the realm of data analysis and machine learning, rather than NLP, which typically deals with unstructured language data. Improving computational abilities is a broad goal of many fields in computing, not specifically targeted by NLP. Lastly, while programming languages are essential in developing NLP systems, the aim is not to eliminate them but rather to abstract their complexity so that end-users can interact with systems using natural language instead.

Natural language processing (NLP) is primarily focused on enhancing the interaction between humans and computers through natural language, which encompasses spoken and written forms of communication. A key goal of NLP is to enable machines to understand, interpret, and respond to human language in a way that is both meaningful and contextually relevant. This facilitation of communication plays a pivotal role in developing applications such as chatbots, virtual assistants, and language translation services, making technology more accessible and user-friendly.

The other options do not align with the core objectives of NLP. For instance, analyzing structured data is often the realm of data analysis and machine learning, rather than NLP, which typically deals with unstructured language data. Improving computational abilities is a broad goal of many fields in computing, not specifically targeted by NLP. Lastly, while programming languages are essential in developing NLP systems, the aim is not to eliminate them but rather to abstract their complexity so that end-users can interact with systems using natural language instead.