BengaliReadability

KO | EN

gitlite — search

#javascript #react #llm #go #android #machine-learning #rust #deep-learning #linux #docker #windows #vue #ios #openai

BengaliReadability

(★ 9)

[AAAI 2021] - Simple or Complex? Learning to Predict Readability of Bengali Texts.

BengaliReadability Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## Bengali Readability Prediction
 
Code and Dataset of our work, [Simple or Complex? Learning to Predict Readability of Bengali Texts](https://arxiv.org/abs/2012.07701) accepted at [AAAI 2021](https://aaai.org/Conferences/AAAI-21/).

- [Dataset](https://github.com/tafseer-nayeem/BengaliReadability/tree/main/Data)
	- [Sentence Level Dataset](https://github.com/tafseer-nayeem/BengaliReadability/tree/main/Data/Learning)
	- [Document Level Dataset](https://github.com/tafseer-nayeem/BengaliReadability/tree/main/Data/Formula%20based)
- [Presentation](https://tafseer-nayeem.github.io/files/AAAI2021/aaai2021_full.pdf)
- [Poster](https://tafseer-nayeem.github.io/files/AAAI2021/aaai2021_poster.pdf)
- [Demo Video](https://youtu.be/U05Pf9Y4tCQ)

## Authors

- Susmoy Chakraborty*
- Mir Tafseer Nayeem*
- Wasi Uddin Ahmad

*[Equal Contribution]

## Citation

If you use any of the resources or it's relevant to your work, please cite the paper.

```
@inproceedings{chakraborty2021aaai,
    title = "Simple or Complex? Learning to Predict Readability of Bengali Texts",
    author  = {Susmoy Chakraborty and Mir Tafseer Nayeem and Wasi Uddin Ahmad},
    booktitle = "Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence",
    year = "2021",
    address = "Online",
    publisher = "AAAI Press"
}
```

BengaliReadability

BengaliReadability Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

BengaliReadability

BengaliReadability Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README