Author

Sampo Pyysalo

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#natural language process... Jul 2026

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages

This work introduces MultiSynt/MT, an open synthetic parallel corpus with approximately 4.8 trillion target-language tokens across 36 languages, produced by translating 100 billion high-quality Nemotron-CC tokens with Tower+ and OPUS-MT/HPLT-MT systems, and releases the corpus to support controlled research on multilin...

Maximilian Idahl, Jörg Tiedemann, S. Pyysalo et al. · arXiv.org · 0 citations

#natural language process... Jun 2026

Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?

This work proposes a pipeline for automatically generating step-by-step linguistic reasoning traces from Universal Dependencies treebanks, dictionaries, and grammar-rule banks and shows that linguistic reasoning traces are most effective as inference-time guidance in ICL, which substantially improve translation perform...

Renhao Pei, Yihong Liu, Sampo Pyysalo et al. · arXiv.org · 0 citations