Mandarin to Taiwanese Southern Min Translation

Environment Setup

create conda environment using env.yml, which includes installing my personal fork of allennlp and allennlp-models:
- conda create env -f env.yml
You might need to pip uninstall -y dataclasses due to this issue regarding installing Allennlp which Python version >= 3.7

bash preprocess.sh
bash download_data.sh

bash train.sh training_config/default.jsonnet <model_dir>

bash predict.sh /path/to/your/model.tar.gz <input_file> <output_file>

input_file: should be one line per sentence.
model.tar.gz: generated by allennlp at the end of training. Pretrained model can be downloaded by running bash download_model.sh.

first install allennlp-server:

git clone https://github.com/allenai/allennlp-server.git
cd allennlp-server
pip install .

then run allennlp serve:

allennlp serve --archive-path model.tar.gz  --predictor seq2seq --field-name source

example of http posting:

curl --header "Content-Type: application/json" \
  --request POST \
  --data '{"source":"你好嗎"}' \
  http://127.0.0.1:8000/predict