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https://github.com/akpe12/JP-KR-ocr-translator-for-travel

  • Usage
from transformers import(
    EncoderDecoderModel,
    PreTrainedTokenizerFast,
    # XLMRobertaTokenizerFast,
    BertTokenizerFast,
)

encoder_model_name = "cl-tohoku/bert-base-japanese-v2"
decoder_model_name = "skt/kogpt2-base-v2"

src_tokenizer = BertTokenizerFast.from_pretrained(encoder_model_name)
trg_tokenizer = PreTrainedTokenizerFast.from_pretrained(decoder_model_name)
model = EncoderDecoderModel.from_pretrained("figuringoutmine/translator-for-travel-jp-to-kr")
text = "豚骨ラーメン"
embeddings = src_tokenizer(text, return_attention_mask=False, return_token_type_ids=False, return_tensors='pt')
embeddings = {k: v for k, v in embeddings.items()}
output = model.generate(**embeddings)[0, 1:-1]

trg_tokenizer.decode(output.cpu())
  • Quantitative evaluation using data related traveling in Japan
    with BLEU score(1-gram)
    Papago: 51.9
    Google: 32.8
    figuringoutmine/translator-for-travel-jp-to-kr: 52.7
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