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@@ -16,14 +16,14 @@ This repository contains the model weights for translation models trained with M
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  * Dataset: All of OPUS including HPLT
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  * Model: transformer-base
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  * Tokenizer: SentencePiece (Unigram)
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- * 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-gl/raw/v2)
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  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.
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  ## Benchmarks
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- | testset | BLEU | chr-F | comet |
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  | -------------------------------------- | ---- | ----- | ----- |
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- | flores200 | 32.5 | 57.5 | 0.8645 |
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- | ntrex | 32.7 | 56.8 | 0.834 |
 
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  * Dataset: All of OPUS including HPLT
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  * Model: transformer-base
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  * Tokenizer: SentencePiece (Unigram)
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+ * 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/gl-en/raw/v2)
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  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.
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  ## Benchmarks
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+ | testset | BLEU | chr-F | COMET-22 |
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  | -------------------------------------- | ---- | ----- | ----- |
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+ | flores200 | 32.5 | 57.5 | 0.842 |
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+ | ntrex | 32.7 | 56.8 | 0.7962 |