https://github.com/thunlp/WantWords

An open-source online reverse dictionary.
https://github.com/thunlp/WantWords

natural-language-processing nlp reverse-dictionary word

Last synced: about 1 month ago
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An open-source online reverse dictionary.

• Host: GitHub
• URL: https://github.com/thunlp/WantWords
• Owner: thunlp
• Created: 2020-10-05T13:39:54.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-23T11:52:43.000Z (almost 3 years ago)
• Last Synced: 2024-10-29T15:40:42.784Z (about 1 month ago)
• Topics: natural-language-processing, nlp, reverse-dictionary, word
• Language: JavaScript
• Homepage: https://wantwords.net/
• Size: 14.5 MB
• Stars: 7,008
• Watchers: 72
• Forks: 619
• Open Issues: 27
• Metadata Files:
  • Readme: README.md

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README

        
### [中](README_ZH.md)|En



  

  	

  



An Open-source Online Reverse Dictionary [link] 


## News

The WantWords MiniProgram has been launched. Welcome to scan the following QR code to try it!







## 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.







## 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







### 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.







### 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}

}

```