You are building a Deep Learning based aws video
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You are building a Deep Learning based context-sensitive spelling correction functionality for a consumer facing application. For example, consider the following misspelled food description: “low tat milk”. A traditional spell checker might correct it to “low tar milk”, which is an incorrect suggestion for the domain of food text, therefore, it should be corrected to “low fat milk”. Which of the following options would you use to build your context aware model?