What is the name of the machine learning architecture that can be used to translate text from one language to another?Neural networkEncoder-decoderConvolutional neural network (CNN)Long Short-Term Memory (LSTM)

What is the name of the machine learning architecture that takes a sequence of words as input and outputs a sequence of words?Regressive neural networkingCollaborative natural networkEncoder-decoderLarge stream text manipulation

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

What is the name of the machine learning technique that allows a neural network to focus on specific parts of an input sequence?Encoder-decoderAttention mechanismConvolutional neural network (CNN)Long Short-Term Memory (LSTM)

In the context of natural language processing, how are RNNs typically utilized for machine translation?As a replacement for CNNsEncoding the input sequence and decoding the output sequenceAs discriminators in GANsFor image classificationFor clustering text data

What is the process of encoding text data into vectors called?Training a deep learning model.Building a text index.Generating text embeddings.Serving the search results