dzmitry bahdanau, kyunghyun cho, and yoshua bengio. 2014. neural machine translation by jointly learning to align and
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.
The models proposed as of late for brain machine interpretation frequently have a place with a group of encoder-decoders and comprises of an encoder that encodes a source sentence into a fixed-length vector from which a decoder creates an interpretation.
In this paper, we guess that the utilization of a fixed-length vector is a bottleneck in working on the exhibition of this essential encoder-decoder engineering, and propose to broaden this by permitting a model to naturally (delicate )look for parts of a source sentence that are pertinent to anticipating an objective word, without shaping these parts as a hard section unequivocally.
With this new methodology, we accomplish an interpretation execution equivalent to the current cutting edge state put together framework with respect to the undertaking of English-to-French interpretation. Moreover, subjective examination uncovers that the (delicate )arrangements found by the model concur well with our instinct.
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Answer:
I knew this much only
Explanation:
due to its greater mass of land.
mild climate
seasonal changes occours periodically
Answer:Humility and love
Explanation:with humility and love,employees would be able to trust their managers and put in their best.
Answer:
Revolution.
Explanation:
A revolution is an attempt to change how things are currently done, whether it's a revolution against government, leadership, or old standards.
Answer:
No Fallacy
Explanation:
The statement possesses great reasoning about the destruction of tropical rain forests. It is also a proven fact and if Lester Brown is justifying his statement restating the facts by appropriate source which in this case is Yearly World Report issued by the State. So there is no invalid reasoning here or we can say their is no fallacy in the statement.
