Answer:
Arrival, Spread, & Effect of the PlagueThe plague came to Europe from the East, most probably via the trade routes known as the Silk Road overland, and certainly by ship oversea.
Explanation:
The Black Death – a combination of bubonic, septicemic, and pneumonic plague (and also possibly a strain of murrain) – had been gaining momentum in the East since at least 1322 CE and, by c. 1343 CE, had infected the troops of the Mongol Golden Horde under the command of the Khan Djanibek (r. 1342-1357 CE) who was besieging the Italian-held city of Caffa (modern-day Feodosia in Crimea) on the Black Sea.
Patriarchy is a social system that places men as beings who hold all authority and power within a society, leaving women submissive and devalued in the face of any social situation.
Patriarchy is largely responsible for spreading concepts that claim that women are weak, submissive and should not receive the same civic and social privileges as men. All over the world, women receive few opportunities for education, employment, security and fair wages, which causes strong social and economic inequality between men and women.
Although this is a behavior that is present throughout the world, in Ghana patriarchy not only place women in lower positions within their families and within society, these social inequalities allow a series of violence to be done against women and that there are few ways to defend themselves both physically and judicially. In addition, patriarchy in Ghana influences the concept that women should marry and be mothers early, which means that girls get married as teenagers and are deprived of studying, working and following their dreams, being totally dependent on family men.
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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