Question 10Which model is the state-of-the-art for text synthesis?1 pointLong short-term memoryCBOWMultilayer perceptronCNN

The state-of-the-art model for text synthesis is currently the Long short-term memory (LSTM).

Here's a step-by-step explanation:

1. Text synthesis, also known as text generation, is the process of creating meaningful phrases and sentences in the form of human-readable text.

2. Various models have been used for this task, including CBOW (Continuous Bag of Words), Multilayer Perceptron, and CNN (Convolutional Neural Network).

3. However, the Long Short-Term Memory (LSTM) model, a type of recurrent neural network, is currently considered the state-of-the-art for text synthesis.

4. LSTM is particularly effective for this task because it can learn long-term dependencies, which is crucial for understanding the context and generating coherent and relevant text.

5. LSTM's ability to forget, remember, and update its information makes it superior for tasks that involve sequential data, like text, where the order and context of words are important.