Which NLP task is specifically concerned with generating human-like text?*1 pointText SummarizationMachine TranslationText GenerationNamed Entity Recognition

The NLP task specifically concerned with generating human-like text is Text Generation.

Explanation:

1. Text Generation aims to produce coherent and contextually relevant text based on a given input or prompt. This task uses advanced techniques, often powered by neural networks, especially transformers like GPT (Generative Pre-trained Transformer). The generated text can resemble human writing in style, tone, and creativity, making it one of the most exciting areas in natural language processing.

2. Text Summarization focuses on condensing a larger body of text into a shorter version while retaining its essential meaning. It is fundamentally different from text generation, which can create entirely new content rather than summarize existing information.

3. Machine Translation is the task of converting text from one language to another. While it does produce human-like output in terms of language fluency, its primary purpose is translation, not the independent generation of text.

4. Named Entity Recognition (NER) is focused on identifying and classifying entities (like names, organizations, locations) within the text. It does not generate text but rather processes existing text to extract meaningful data.

In summary, while all the tasks listed are important in NLP, text generation is the task that specifically aims to create new text that resembles human writing.