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WantWords

(★ 7,097)

An open-source online reverse dictionary.

File Explorer

Download Latest Version (.zip)

- miniprogram.jpg
- MRD_model.png
- MRD_model_ZH.png
- rd_example.png
- screenshot.png
- wantwords_logo.svg
- workflow.png
- workflow_ZH.png
- - zzsc.css
- - logo.png
  - zm2.ico
- - clear.png
- - home.js
  - zzsc.js
- about.html
- about_en.html
- home.html
- __init__.py
- settings.py
- urls.py
- views.py
- wsgi.py
manage.py
model.py
model_en.py
README.md
README_ZH.md
uwsgi.ini

# Installation Guide

1. Get the code

git clone https://github.com/thunlp/WantWords

Downloads the entire project code from GitHub to your computer.

cd WantWords

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

python manage.py runserver

Starts the Django development server.

✅ If it runs without errors and prints output in the terminal, it worked.

// repository documentation

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### [中](README_ZH.md)|En
<p align="center">
  <a href="https://wantwords.thunlp.org/">
  	<img src="resources/wantwords_logo.svg" width = "300"  alt="WantWords Logo"  />
  </a>
</p>
<h3 align="center">An Open-source Online Reverse Dictionary [<a href="https://wantwords.net/">link</a>] </h3>

## News

The WantWords MiniProgram has been launched. Welcome to scan the following QR code to try it!
<div align=center>
<img src="resources/miniprogram.jpg" width = "300"  alt="MiniProgram QR code"/>
</div>

## What Is a Reverse Dictionary?
Opposite to a regular (forward) dictionary that provides definitions for query words, a reverse dictionary returns words semantically matching the query descriptions.

<div align=center>
<img src="resources/rd_example.png" alt="rd_example" width = "600"/>
</div>

## What Can a Reverse Dictionary Do?
* Solve the *tip-of-the-tongue problem*, the phenomenon of failing to retrieve a word from memory
* Help new language learners
* Help word selection (or word dictionary) anomia patients, people who can recognize and describe an object but fail to name it due to neurological disorder

## Our System
### Workflow

<div align=center>
<img src="resources/workflow.png" alt="workflow" width = "500"  />
</div>

### Core Model

The core model of WantWords is based on our proposed **Multi-channel Reverse Dictionary Model** [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/5365/5221)] [[code](https://github.com/thunlp/MultiRD)], as illustrate in the following figure.

<div align=center>
<img src="resources/MRD_model.png" alt="model" width = "500" />
</div>

### Pre-trained Models and Data

You can [download](https://cloud.tsinghua.edu.cn/d/811dcb428ed24480bc60/) and decompress the pre-trained models and data to `BASE_PATH/website_RD/` to reimplement the system.

### Key Requirements

* Django==2.2.5
* django-cors-headers==3.5.0
* numpy==1.17.2
* pytorch-transformers==1.2.0
* requests==2.22.0
* scikit-learn==0.22.1
* scipy==1.4.1
* thulac==0.2.0
* torch==1.2.0
* urllib3==1.25.6
* uWSGI==2.0.18
* uwsgitop==0.11

## Cite

If the code or data help you, please cite the following two papers.

```
@inproceedings{qi2020wantwords,
  title={WantWords: An Open-source Online Reverse Dictionary System},
  author={Qi, Fanchao and Zhang, Lei and Yang, Yanhui and Liu, Zhiyuan and Sun, Maosong},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  pages={175--181},
  year={2020}
}

@inproceedings{zhang2020multi,
  title={Multi-channel reverse dictionary model},
  author={Zhang, Lei and Qi, Fanchao and Liu, Zhiyuan and Wang, Yasheng and Liu, Qun and Sun, Maosong},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  pages={312--319},
  year={2020}
}
```