Closed QzzIsCoding closed 2 years ago
Hi, the references are one-indexed. You can try the command:
python tools/aer.py ${reference_path} ${file_path} --oneRef
@zdou0830 Hi, thanks for your reply. I got the same results as those described in the paper with this command.
Hi, thanks for your work. I downloaded the model
[Ours (multilingually fine-tuned w/o --train_co, softmax) ]
you released, but the test results in the Chinese and English directions are different from those described in the paper.I used the following command:
DATA_FILE=/share/awesome-align/examples/zhen.src-tgt
MODEL_NAME_OR_PATH=/share/awesome-align/model_without_co
OUTPUT_FILE=/share/awesome-align/out/output.src-tgt
OUTPUT_WORD_FILE=/share/awesome-align/out/output.words.src-tgt
CUDA_VISIBLE_DEVICES=0 awesome-align \
--output_file=$OUTPUT_FILE \
--model_name_or_path=$MODEL_NAME_OR_PATH \
--data_file=$DATA_FILE \
--extraction 'softmax' \
--output_word_file=$OUTPUT_WORD_FILE \
--batch_size 32
python tools/aer.py examples/zhen.gold out/output.src-tgt
The test results were as follows:
out/output.src-tgt: 69.3% (30.8%/30.6%/11385) F-Measure: 0.307