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Update README.md
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README.md
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@@ -8,31 +8,6 @@ The TartuNLP Multilingual Neural Machine Translation model for low-resource Finn
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- **High and Mid-Resource Languages:** Estonian, English, Finnish, Hungarian, Latvian, Norwegian, Russian
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- **Low-Resource Finno-Ugric Languages:** Komi, Komi Permyak, Udmurt, Hill Mari, Meadow Mari, Erzya, Moksha, Proper Karelian, Livvi Karelian, Ludian, Võro, Veps, Livonian, Northern Sami, Southern Sami, Inari Sami, Lule Sami, Skolt Sami, Mansi, Khanty
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### Scores
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Average:
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| to-lang | bleu | chrf | chrf++ |
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| ------- | ----- | ---- | ------ |
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| ru | 24.82 | 51.81 | 49.08 |
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| en | 28.24 | 55.91 | 53.73 |
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| et | 18.66 | 51.72 | 47.69 |
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| fi | 15.45 | 50.04 | 45.38 |
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| hun | 16.73 | 47.38 | 44.19 |
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| lv | 18.15 | 49.04 | 45.54 |
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| nob | 14.43 | 45.64 | 42.29 |
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| kpv | 10.73 | 42.34 | 38.50 |
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| liv | 5.16 | 29.95 | 27.28 |
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| mdf | 5.27 | 37.66 | 32.99 |
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| mhr | 8.51 | 43.42 | 38.76 |
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| mns | 2.45 | 27.75 | 24.03 |
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| mrj | 7.30 | 40.81 | 36.40 |
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| myv | 4.72 | 38.74 | 33.80 |
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| olo | 4.63 | 34.43 | 30.00 |
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| udm | 7.50 | 40.07 | 35.72 |
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| krl | 9.39 | 42.74 | 38.24 |
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| vro | 8.64 | 39.89 | 35.97 |
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| vep | 6.73 | 38.15 | 33.91 |
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| lud | 3.11 | 31.50 | 27.30 |
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### Usage
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To use this model for translation tasks, you will need to utilize the [**Fairseq v0.12.2**](https://pypi.org/project/fairseq/0.12.2/).
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@@ -67,4 +42,29 @@ fairseq-interactive ${model_path} \
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--lang-pairs ${src_lang}-${tgt_lang} \
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--langs "${nllb_langs},${new_langs}" \
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--cpu
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```
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- **High and Mid-Resource Languages:** Estonian, English, Finnish, Hungarian, Latvian, Norwegian, Russian
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- **Low-Resource Finno-Ugric Languages:** Komi, Komi Permyak, Udmurt, Hill Mari, Meadow Mari, Erzya, Moksha, Proper Karelian, Livvi Karelian, Ludian, Võro, Veps, Livonian, Northern Sami, Southern Sami, Inari Sami, Lule Sami, Skolt Sami, Mansi, Khanty
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### Usage
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To use this model for translation tasks, you will need to utilize the [**Fairseq v0.12.2**](https://pypi.org/project/fairseq/0.12.2/).
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--lang-pairs ${src_lang}-${tgt_lang} \
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--langs "${nllb_langs},${new_langs}" \
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--cpu
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```
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### Scores
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Average:
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| to-lang | bleu | chrf | chrf++ |
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| ------- | ----- | ---- | ------ |
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| ru | 24.82 | 51.81 | 49.08 |
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| en | 28.24 | 55.91 | 53.73 |
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| et | 18.66 | 51.72 | 47.69 |
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| fi | 15.45 | 50.04 | 45.38 |
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| hun | 16.73 | 47.38 | 44.19 |
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| lv | 18.15 | 49.04 | 45.54 |
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| nob | 14.43 | 45.64 | 42.29 |
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| kpv | 10.73 | 42.34 | 38.50 |
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| liv | 5.16 | 29.95 | 27.28 |
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| mdf | 5.27 | 37.66 | 32.99 |
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| mhr | 8.51 | 43.42 | 38.76 |
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| mns | 2.45 | 27.75 | 24.03 |
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| mrj | 7.30 | 40.81 | 36.40 |
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| myv | 4.72 | 38.74 | 33.80 |
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| olo | 4.63 | 34.43 | 30.00 |
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| udm | 7.50 | 40.07 | 35.72 |
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| krl | 9.39 | 42.74 | 38.24 |
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| vro | 8.64 | 39.89 | 35.97 |
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| vep | 6.73 | 38.15 | 33.91 |
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| lud | 3.11 | 31.50 | 27.30 |
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