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
brainly.com/question/3299445
#SPJ4
Coco bean, sugar, sweetners, coconut oil, water, butter and agave nectar
hope this helps
<u>A scam is a fraudulent scheme used to make money</u>. True. A scam is an illegal plan for making money (a financial risk), especially when it involves tricking people. It is any deceptive and/or fraudulent scheme or action that is usually intended to gain financial advantage. There are types of scams such as online ones. The practice is based on inducing in some way the victim to send amounts of money in exchange for tempting promises.
<em>Scammers will use any means possible to steal your money. They invent convincing and seemingly legitimate reasons to give you false hope.</em>
