FuguMT

This is a translation model using Marian-NMT. For more details, please see my repository .

• source language: en
• target language: ja

How to use

This model uses transformers and sentencepiece.

!pip install transformers sentencepiece

You can use this model directly with a pipeline:

from transformers import pipeline
fugu_translator = pipeline('translation', model='staka/fugumt-en-ja')
fugu_translator('This is a cat.')

If you want to translate multiple sentences, we recommend using pySBD .

!pip install transformers sentencepiece pysbd

import pysbd
seg_en = pysbd.Segmenter(language="en", clean=False)

from transformers import pipeline
fugu_translator = pipeline('translation', model='staka/fugumt-en-ja')
txt = 'This is a cat. It is very cute.'
print(fugu_translator(seg_en.segment(txt)))

Eval results

The results of the evaluation using tatoeba (randomly selected 500 sentences) are as follows:

(*1) sacrebleu --tokenize ja-mecab