Synthetic baselines trained for our paper "Scaling Low-Resource MT via Synthetic Data Generation with LLMs" accepted as a main in EMNLP 2025.
AI & ML interests
At the University of Helsinki, we focus on: - NLP for morphologically-rich languages - Cross-lingual NLP - NLP in the humanities
Recent Activity
Organization Card
Helsinki-NLP refers to the language technology research group at the University of Helsinki. Here, we publish various resource related to multilingual NLP, machine translation, text simplification to name a few application areas. We focus on wide language coverage, open data sets and public pre-trained models.
models
1,536
Helsinki-NLP/opus-mt-eo-caenes
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76.9M
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1
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1
Helsinki-NLP/opus-mt-caenes-eo
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76.9M
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2
Helsinki-NLP/opus-mt-fr-en
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75.2M
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812k
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50
Helsinki-NLP/opus-mt-synthetic-en-eu
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68
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Helsinki-NLP/opus-mt-synthetic-en-mk
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110
Helsinki-NLP/opus-mt-synthetic-en-ka
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167
Helsinki-NLP/opus-mt-synthetic-en-so
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121
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1
Helsinki-NLP/opus-mt-synthetic-en-is
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120
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1
Helsinki-NLP/opus-mt-synthetic-en-uk
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143
Helsinki-NLP/opus-mt-synthetic-en-gd
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129
datasets
52
Helsinki-NLP/shroom-cap
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Helsinki-NLP/nemotron-cc-translated
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5.79B
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9.93k
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Helsinki-NLP/fineweb-edu-translated
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206k
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4
Helsinki-NLP/OpenSubtitles2024
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570M
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108
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Helsinki-NLP/shroom
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2
Helsinki-NLP/mu-shroom
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11.5k
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169
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Helsinki-NLP/tatoeba_mt_train
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13.7B
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176
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Helsinki-NLP/tatoeba_mt
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2.26k
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61
Helsinki-NLP/un_pc
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323M
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1.6k
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Helsinki-NLP/un_ga
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1.11M
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717
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