https://github.com/dhruvp-8/word-complexity
A Feature Based Approach towards Lexical Simplification
https://github.com/dhruvp-8/word-complexity
ast bs4 curses lesk lxml multiprocessing nlp nltk pool process pywsd urllib3 wikitionary
Last synced: 4 months ago
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A Feature Based Approach towards Lexical Simplification
- Host: GitHub
- URL: https://github.com/dhruvp-8/word-complexity
- Owner: dhruvp-8
- Created: 2018-03-13T13:23:51.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-21T09:05:37.000Z (about 7 years ago)
- Last Synced: 2025-01-10T01:52:02.945Z (5 months ago)
- Topics: ast, bs4, curses, lesk, lxml, multiprocessing, nlp, nltk, pool, process, pywsd, urllib3, wikitionary
- Language: Python
- Homepage:
- Size: 5.44 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: change_tense.py
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README
# Lexical Simplification (Feature Based Approach)
This project targets on the lexical simplification of a sentence based on the Feature Based Approach. Furthermore, the model used in this research project has been referred from **"SemEval-2012 Task 1: English Lexical Simplification" by Lucia Specia and Sujay Kumar Jauhar** Paper.
## The Model
The model consists three modules which are:
1. **Feature Extraction Module** *(FEM)*
2. **Word Substitution Ranking Module** *(WSRM)*
3. **Result Fetching Module** *(RFM)*
### Prerequisites
What things you need to install the software and how to install them
```
python 3.x
nltk
ast
bs4
urllib3
pyphen
strings
operator
pywsd
wiktionaryparser
```
### Installing
A step by step series of examples that tell you have to get a development env running
Say what the step will be
```
Install python 3.6 and ADD that to your PYTHONPATH
```
Install pip
```
Install the package manager for python by going at this link [Download pip](https://pip.pypa.io/en/stable/installing/).
```
Install nltk
```
pip install nltk
```
Install ast
```
pip install ast
```
Similarly, install all the prerequisites.
## Feature Extraction Model Data
The JSON object received from the FEM module can be shown by the below figures
## Final Output of the model
The final output received when we input a sentence is this:
Input Sentence is: **John revoked his admit**
Output Sentence is: **John withdrew his admit**
## Running the tests
No Tests to show currently.
## Deployment
Not Deployed.
## Versioning
I use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/dhruvp-8).
## Authors
* **Dhruv Patel** - *Initial work* - [dhruvp-8](https://github.com/dhruvp-8)
## License
## Acknowledgments