This is PyTorch implementation of the paper:
Multilingual Grammar Induction with Continuous Language Identification
Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu
EMNLP 2019
The code performs unsupervised grammar learning in the dataset of 15 languages selected from UD treebanks v1.4.
Please concact hanwj@shanghaitech.edu.cn or wangge@shanghaitech.edu.cn if you have any questions.
- Python 2.7
- PyTorch >=1.0
- Numpy 1.15.4
run:
python ml_dmv_parser.py --cvalency 2 --do_eval --neural_epoch 1 --function_mask --lr 0.001 --epoch 70 --use_neural --embed_languages --em_type em --child_only --sentence_predictThe grammar induction is by default set to be performed on 15 selected languages, you can customize your own language selection by changing the contents in the language_list file
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