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WantWords

(★ 7,097)

An open-source online reverse dictionary.

파일 탐색기

최종 버전 다운로드 (.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

# 설치 가이드

1. 코드 내려받기

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

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd WantWords

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

python manage.py runserver

장고(Django) 개발 서버를 실행합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

// 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}
}
```