README.md

---
language:
  - en
  - nn
tags:
- translation
license: cc-by-4.0
---

### Translation model for en-nn OPUS_HPLT v1.0

This repository contains the model weights for translation models trained with Marian for HPLT project. For usage instructions, evaluation scripts, and inference scripts, please refer to the [HPLT-MT-Models v1.0](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0) GitHub repository.

* Source language: en
* Target language: nn
* Dataset: All of OPUS including HPLT
* Model: transformer-base
* Tokenizer: SentencePiece (Unigram)
* Cleaning: We use OpusCleaner for cleaning the corpus. Details about rules used can be found in the filter files in [Github](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0/data/en-nn/raw/v2) 

To run inference with Marian, refer to the [Inference/Decoding/Translation](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0#inferencedecodingtranslation) section of our GitHub repository.


## Benchmarks

| testset                                | BLEU | chr-F | comet |
| -------------------------------------- | ---- | ----- | ----- |
| flores200     | 16.6 | 39.8  | 0.7412  |
| ntrex | 15.7   | 38.3  | 0.6965  |