Comments (1)
The spell checker and models are from another repository (https://github.com/nusnlp/smtgec2017)
You have to use the commands in these lines in this script, and also use a dictionary/word list to identify the unknown words: https://github.com/nusnlp/smtgec2017/blob/master/run.sh#L47-L68 if you are to use the spell checker independently.
In the case of using spell checker at the output of the encoder-decoder GEC system (or an SMT-based GEC system), the word list contains all the source words in the training data. Any other word is treated as unknown word.
from mlconvgec2018.
Related Issues (20)
- Using interactive instead of generate to evaluate HOT 1
- Python error: <stdin> is a directory, cannot continue HOT 2
- the size of training dataset? HOT 2
- How to use language model (94Bcclm.trie)? HOT 2
- TypeError: iter() returned non-iterator of type 'NBestList' HOT 9
- An error about Compile and install PyTorch(0.2.0) HOT 5
- Accuracy of trained model? HOT 12
- Fairseq-py Installation Issue HOT 5
- About training data
- reranker error HOT 6
- pytorch version? HOT 3
- pre-trainined embeddings. HOT 1
- ImportError: cannot import name 'libbleu' HOT 4
- 'Levenshtein greater than source size' when training re-ranker HOT 1
- Output directory error while running run.sh in google colab HOT 1
- ImportError: cannot import name 'libbleu' from 'fairseq' HOT 3
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- General question: GEC data preprocessing
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from mlconvgec2018.