This is an example of imitation/copying.
Imitation is a way of behavior where an individual<em> observes and replicates the behavior of others.</em> It is a reproduction of an act that is simulated by the perception of a similar act by another animal or person.
To imitate/copy somebody or something a model is needed. The copying may be done none-consciously ( seeing and copying others without thinking about the reason to do it ,) or it can be a conscious strategy ( out of uncertainty how to act or behave in some situation).
In Libby's case, the act of imitation<em> comes as a conscious process of wanting to behave correctly</em> and to fit in with others.The other students are Libby's model to copy her behavior from.
Answer:
People lived to have babies, and babies were the most important thing men and . Life wasn't quite as short as most people make it out to be (mean life that the gender roles played by men and women were necessary)
Explanation:
The inability to perceive that the addictive behavior is self-destructive is called denial.
The Americans were killing buffalo to feed the railroad builders and the land of the Native Americans was being taken away for construction of the railroads. ... The Native Americans hunted the buffalo and used their meat and hides.
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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