Which of the following aims to construct natural language outputs from…

The correct answer is Option B (Only ii). Natural Language Generation (NLG) specifically refers to the process of producing meaningful phrases and sentences from non-linguistic input data, such as databases or structured information. This technology is used in applications like weather forecasting reports or automated news writing, where the goal is to create human-readable text. In contrast, Natural Language Understanding (NLU) focuses on the opposite direction: interpreting and extracting meaning from human language input to understand intent or sentiment. Therefore, NLU does not construct outputs but rather analyzes inputs. Since the question asks specifically about constructing natural language from non-linguistic sources, only NLG fits this definition, making Option B the correct choice.