---
language: my
tags:
- MyanBERTa
- Myanmar
- BERT
- RoBERTa
license: apache-2.0
datasets:
- MyCorpus
- Web
---

## Model description

This model is a BERT based Myanmar pre-trained language model.
MyanBERTa was pre-trained for 528K steps on a word segmented Myanmar dataset consisting of 5,992,299 sentences (136M words).
As the tokenizer, byte-leve BPE tokenizer of 30,522 subword units which is learned after word segmentation is applied.

```
Contributed by:
Aye Mya Hlaing
Win Pa Pa
```

Cite this work as:

```
Aye Mya Hlaing, Win Pa Pa, "MyanBERTa: A Pre-trained Language Model For
Myanmar", In Proceedings of 2022 International Conference on Communication and Computer Research (ICCR2022), November 2022, Korea
```

[Download Paper](https://journal-home.s3.ap-northeast-2.amazonaws.com/site/iccr2022/abs/QOHFI-0004.pdf)