# BLEU optimization

An English-Arabic translation model fine-tuned based on Helsinki-NLP/opus-mt-en-ar, achieving a BLEU score of 29.991 on the evaluation set

A bidirectional translation model between Jeju dialect and standard Korean based on the Kobart architecture, supporting mutual translation between the two languages

A multilingual machine translation model based on NLLB-200-1.3B, supporting translation between English and 5 African languages

This is a Spanish-to-Portuguese translation model fine-tuned based on the T5-small architecture, trained on the tatoeba dataset, with an evaluated BLEU score of 11.2994.

English-to-Bengali translation model fine-tuned on Helsinki-NLP/opus-mt-en-inc

NLLB-Mo is a multilingual machine translation model that supports translation tasks for over 200 languages.

This model is an English-Japanese translation model fine-tuned based on Helsinki-NLP/opus-tatoeba-en-ja, optimized on an unknown dataset.

This is a sequence-to-sequence model based on the T5-small architecture, specifically designed for translating Hindi-English mixed text (hi_en) into standard English (en).

This model is an English-French translation model fine-tuned on the kde4 dataset based on Helsinki-NLP/opus-mt-en-fr, achieving a BLEU score of 52.94 on the evaluation set.

This model is a T5-small architecture fine-tuned on the wmt16 dataset for English to Romanian translation

A Transformer-based machine translation model for translating Efik to English.

This model is a fine-tuned version of the mBART-50 large model on the opus100 dataset for English to Portuguese translation tasks, supporting high-quality bilingual translation.