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Open Source Model Profile · Helsinki-NLP

opus-mt-ja-en

opus-mt-ja-en is a Helsinki-NLP Marian translation model. According to the model card, it translates Japanese source text to English.

Publisher
Helsinki-NLP
Task
translation
Model type
marian
License
apache-2.0
Library
transformers
Publication status
Approved for indexing

Model overview

opus-mt-ja-en is published by Helsinki-NLP as a translation model. The captured configuration identifies MarianMTModel. According to the model card, it translates from Japanese to English using an OPUS-trained transformer-align model.

Recorded capabilities

Japanese-to-English translation

Captured hub records identify the translation pipeline with Japanese and English tags, and the model card names Japanese as source and English as target.

Publisher-reported Tatoeba scores

According to the model card, the Tatoeba.ja.en test set scores are BLEU 41.7 and chr-F 0.589.

OPUS data and SentencePiece pipeline

According to the model card, training uses OPUS data with normalization and SentencePiece pre-processing on a transformer-align model.

Use cases in the source record

  • Japanese-to-English machine translation workflows consistent with the card's stated language direction.
  • Transformers-based text2text experiments that follow the card's OPUS and SentencePiece pipeline description.

Limitations and unknowns

  • No parameter count was extracted from this record.
  • No context-window value was extracted from this record.
  • Provider state is historical snapshot data, not independently refreshed current availability.
  • Benchmark scores and pipeline details come from the publisher model card and were not independently verified.

Source and provenance

Source: Helsinki-NLP/opus-mt-ja-en

Captured: Unknown. Processed: 2026-09-07T19:34:31.298901+00:00.

opus-mt-ja-en source languages: ja target languages: en OPUS readme: ja-en dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2019-12-18.zip test set translations: opus-2019-12-18.test.txt test set scores: opus-2019-12-18.eval.txt Benchmarks testset BLEU chr-F Tatoeba.ja.en 41.7 0.589

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