Answer:
The richness of Latin American culture is the product of many influences, including: Spanish and Portuguese culture, owing to the region's history of colonization, settlement and continued immigration from Spain and Portugal.
Explanation:
please mark brainlest
Foreigners and immigrants.
The correct answer is D) They controlled more of their own planning and finances.
Tenant farmers needed to be better at managing money than sharecroppers because they controlled more of their own planning and finances.
After the abolition of slavery at the end of the Civil War and during the time of Reconstruction, Southern landowners rented portions of the farm field to former slaves in order to work and produce cash crops. The new system was called "sharecropping."Farmers in exchange had to give the landlord a big portion of the crops. That is why tenants had to be very careful and better at managing money than sharecroppers because they controlled more of their own planning and finances. It was a matter of establishing good control and operative procedures.
She actually had quite a few brothers. :) They were;
Joseph ll, Leopold ll, Archduke Maximilian, Archduke Charles, and Ferdinand! Hope this helps, hun!
-Hannah
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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