# High-precision Translation

NLLB-200-3.3B is a multilingual neural machine translation model developed by Meta (formerly Facebook), supporting translation tasks between 200 languages.

A fine-tuned English-to-Punjabi translation model based on the LLaMA 3.1 8B architecture, trained using the Bharat parallel corpus.

An English-Korean translation model based on exaone-3-7.8B-it training, focused on translation tasks of instruction datasets

This is an English-to-Korean machine translation model based on the T5 architecture, fine-tuned on a specific dataset to provide high-quality translation results.

This is a Korean text generation model released under the Apache 2.0 license, specializing in Korean text-to-text generation tasks.

Top-tier English-Vietnamese/Vietnamese-English translation model trained on MTet and PhoMT datasets

This is a Korean-to-English neural machine translation model developed by the University of Helsinki, part of the OPUS-MT project.

This is a neural machine translation model based on the Transformer architecture, specifically designed for translating English to French. It is part of the OPUS-MT project, aiming to provide extensive language coverage and easily accessible translation services.

This is a neural machine translation model for translating from English to Arabic, part of the OPUS-MT project, supporting multi-target language translation.

This is a machine translation model based on the Transformer architecture, specifically designed for translating Esperanto into German.

A Chinese-to-English machine translation model developed by the University of Helsinki, based on the OPUS corpus