https://github.com/darkestfloyd/pnet

https://github.com/darkestfloyd/pnet

natural-language-processing

Last synced: about 12 hours ago
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• Host: GitHub
• URL: https://github.com/darkestfloyd/pnet
• Owner: darkestfloyd
• Created: 2018-02-03T00:43:00.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-04-18T02:53:45.000Z (almost 7 years ago)
• Last Synced: 2024-11-23T16:29:00.063Z (2 months ago)
• Topics: natural-language-processing
• Language: TeX
• Size: 1.29 MB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PNet (pronounced Peanut)

PNet - short for ParseNet, is a neural network that generates Abstract Syntax Tree's in Python from Natural Language.

Ongoing semester end project as part of [CS6120 - Natural Language Processing](http://www.ccs.neu.edu/home/luwang/courses/cs6120_sp2018/cs6120_sp2018.html) at Northeastern University.

# Contributors:

  | Name | HuskyID |

  |-|-|

  | Sai Krishna Karanam | [email protected] |

  | Nischal Mahaveer Chand  | [email protected] |

  | Varun Sundar Rabindranath | [email protected] |

# Proposal:

The team proposes to create an artificial code generator for a high-level language, like Python. 


See [proposal.pdf](https://github.com/NischalBhatewara/NLP_project/blob/master/proposal/proposal.pdf)

# Data:

Create `data/` directory in the root folder. 


1. Djanjo Dataset: Downloaded data files from 

[here](https://drive.google.com/drive/folders/0B14lJ2VVvtmJOTJPYWZ5RlNVNHM). This dataset is taken from [pcyin/NL2code](https://github.com/pcyin/NL2code), with permission.

2. HS card data: This dataset is open on [deepmind/card2code](https://github.com/deepmind/card2code/tree/master/third_party/hearthstone).