Closed tylee33 closed 7 years ago
Hi, Basically if you want to use a language pack, please download the pretrained model https://github.com/tensorflow/models/blob/master/syntaxnet/universal.md and just follow the instructions in the readme which basically mount the folder which contain this module to the docker container, and the script will try to use the model if you do a rest.
If you want to train your own model, please follow the guide on the syntaxnet repo and after that you can probably use the model in the api wrapper
I am testing syntexnet applying Korean using your source. In the dockerfile, I wonder that there is no part to learn with the language set. Looking at the source, it seems that the shell script located in parser.py works by referring to the path of the config file. Custom_parse.sh seems to be similar to demo.sh which is automatically generated by syntexnet.
I wonder if there is a part that needs to be set separately when trying to insert another language pack.