Answer:
B: Germany was unable to repay its war debts when loans from the United States were no longer available.
Explanation:
I also had this question and this was correct.
The people of Mesopotamia had their diet mostly on wheat and bread, they also used irrigation to help them plant those things up.The water came from the Tigris and Euphrates Rivers and the place is hot or humid
Answer:
Restricted range of options
Explanation:
In simple words, the restricted range of options given to Caroline is the main reason behind her reinforce not working. She has given a specified time under which she has to perform a specified task. Thus, there is no other way for her to achieve satisfaction is her performance and due to less efficiency in the given option she is feeling nervous an dull.
The Three Long term results that occurred due to the Treaty of Versailles would be following:
A) It imposed reparations on Germany and reduced both its land and population.
B) It placed limits on the German military meant to reduce the possibility of further German aggression.
C) It left Germany with sufficient political unity and economic vitality to enable its conquests during the Second World War.
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.
to learn more about neural machine translation
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