Answer-first summary for fast verification
Answer: Yes
The recommendation to use RNNs satisfies the requirements because RNNs are specifically designed to handle sequential data, which is essential for machine translation tasks. RNNs process text sequences by maintaining internal state (memory) that captures contextual information from previous time steps, making them well-suited for learning the sequential dependencies in language translation. The community discussion confirms this with 100% consensus on answer A, highlighting that RNNs are good for learning sequences and that machine translation in a sequence-based approach aligns with RNN capabilities. While transformers are contemporary best practices for some translation tasks, the question specifically focuses on learning sequences, and RNNs effectively meet this requirement.
Author: LeetQuiz Editorial Team
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You are building a machine learning model to translate text from one language to another. The model must be constructed and trained to learn the sequence of the text.
Recommendation: Use Recurrent Neural Networks (RNNs).
Does this recommendation satisfy the requirements?
A
Yes
B
No
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