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Deep learning is a relatively new area in the field of machine learning, and its full potential has yet to be known. Nevertheless, systems employing deep learning have made significant strides in the computing world - beating professionals in Go, a game previously thought to be too difficult for current computers to solve, accurately describing images and identifying a speaker by voice. The goal of this project is to evaluate how well recurrent neural networks, a variant of deep learning, perform against humans in simplifying single words in sentences. Multiple language models were generated from the recurrent neural network, and the best models were used to rank lexical choices. Predictions made by the network were compared with human-generated lexical rankings.
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Zhang, Wayne, "A Deep Learning Approach to Text Simplification" (2016). Senior Projects Spring 2016. 74.
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