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---
language:
- en
- en
tags:
- translation
license: cc-by-4.0
---
### Translation model for en-en 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/nn-en/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-22 |
| -------------------------------------- | ---- | ----- | ----- |
| flores200 | 16.6 | 39.8 | 0.6749 |
| ntrex | 15.7 | 38.3 | 0.6204 |
|