---
license: cc-by-4.0
task_categories:
- translation
language:
- vmw
- pt
size_categories:
- 18K
tags:
- news
pretty_name: MOZMT
---
# MOZMT: Machine Translation Parallel Dataset for Mozambican Languages

<!-- Provide a quick summary of the dataset. -->

This repository contains releases for the MOZMT corpus, consisting of parallel data for Machine Translation for Mozambican languages. 
Currently, it supports one language pair, Portuguese-Emakhuwa, Emakhuwa being the widely spoken language in Mozambique.


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->


- **Funded by:** This dataset was created with support from Lacuna Fund, the world’s first collaborative effort to provide data scientists, researchers, and social entrepreneurs in low- and middle-income contexts globally with the resources they need to produce labeled datasets that address urgent problems in their communities. Lacuna Fund is a funder collaborative that includes The Rockefeller Foundation, Google.org, Canada’s International Development Research Centre, the German Federal Ministry for Economic Cooperation and Development (BMZ) with GIZ as implementing agency, Wellcome Trust, Gordon and Betty Moore Foundation, Patrick J. McGovern Foundation, and The Robert Wood Johnson Foundation. See https://lacunafund.org/about/ for more information.
- **Language(s) (NLP):** Emakhuwa (vmw), Portuguese (pt)
- **License:** CC BY 4.0



**BibTeX:**

The dataset paper was introduced in [in review]).

Please cite as:
```
@article{ali-et-al2024,
  title={Anonymized},
  author={Ali, Felermino Dario Mario  and Lopes Cardoso, Henrique  and Sousa-Silva, Rui"},
  journal={arXiv preprint },
  year={2024}
}
```

## Dataset Structure:

- **Training:** 16,574 sentences
- **Testing:** 993 sentences
- **Development/Validation:** 964 sentences

## Translation:

The translation was done by ten expert translators.

Considerations for Using the Data:

## Considerations for Using the Data:

Data exclusively for the Emakhuwa-central variant (i.e. ISO code *vmw*)

## Dataset Card Contact

[Felermino Ali](mailto:felerminoali@gmail.com)