Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Which tokenizer used for Japanese pretrained model? #210

Open
tringn opened this issue Jul 5, 2019 · 2 comments
Open

Which tokenizer used for Japanese pretrained model? #210

tringn opened this issue Jul 5, 2019 · 2 comments

Comments

@tringn
Copy link

tringn commented Jul 5, 2019

Hi,
I have a question on your provided pretrained model for Japanese.
Which tokenizer was used to train the model? I found the model is provided by ExaWizards Inc. Enkhbold Bataa, Joshua Wu.

Thanks.

@enod
Copy link

enod commented Jul 8, 2019

Hi,
Details can be found on following paper:
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
https://arxiv.org/abs/1905.09642

@Alexdenova
Copy link

Hello @enod

Did you make translit_language_pack.py?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants