Date of Submission
Spring 2016
Academic Programs and Concentrations
Computer Science
Project Advisor 1
Sven Anderson
Abstract/Artist's Statement
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.
Access Agreement
On-Campus only
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Zhang, Wayne, "A Deep Learning Approach to Text Simplification" (2016). Senior Projects Spring 2016. 74.
https://digitalcommons.bard.edu/senproj_s2016/74
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.
Bard Off-campus DownloadBard College faculty, staff, and students can login from off-campus by clicking on the Off-campus Download button and entering their Bard username and password.