Crash Course-AI#7

What are the two main components of Natural Language Processing (NLP)?

• Natural Language Understanding and Natural Language Generation

• Natural Language Processing and Natural Language Generation

• Natural Language Understanding and Natural Language Processing

• Natural Language Generation and Natural Language Translation

Why is it difficult for AI to understand the meaning of words?

• Words have no meaning on their own and depend on context

• Words are too complex for AI

• Words are always ambiguous

• AI cannot process letters

What is a count vector used for in NLP?

• To count the number of characters in a sentence

• To count the number of sentences in a paragraph

• To count the number of times a word appears with other words

• To count the number of letters in a word

What type of neural network is used to predict the next word in a sentence?

• Generative Adversarial Network (GAN)

• Recurrent Neural Network (RNN)

• Feedforward Neural Network (FNN)

• Convolutional Neural Network (CNN)

What is the role of the encoder in an encoder-decoder model?

• To translate the input into another language

• To visualize word representations

• To read and understand the input

• To generate the final output