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| author | Yuhao Zhang <zyh@stanford.edu> | 2019-01-28 11:40:14 +0300 |
|---|---|---|
| committer | Yuhao Zhang <zyh@stanford.edu> | 2019-01-28 11:40:14 +0300 |
| commit | 75c29aed787875f41d0d385a021d00116afe4c07 (patch) | |
| tree | 9d80d6390433e3fa579f57850177bb769532e1d4 /README.md | |
| parent | fbde29bd253df0df7a2bb50316901c54b77a8c3d (diff) | |
Fix typo
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -99,7 +99,7 @@ We are actively working on improving multi-document processing. All neural modules in this library, including the tokenzier, the multi-word token (MWT) expander, the POS/morphological features tagger, the lemmatizer and the dependency parser, can be trained with your own [CoNLL-U](https://universaldependencies.org/format.html) format data. Currently, we do not support model training via the `Pipeline` interface. Therefore, to train your own models, you need to clone this git repository and set up from source. -For detailes step-by-step guidance on how to train and evaluate your own models, please visit our [training documentation](https://stanfordnlp.github.io/stanfordnlp/training.html). +For detailed step-by-step guidance on how to train and evaluate your own models, please visit our [training documentation](https://stanfordnlp.github.io/stanfordnlp/training.html). ## LICENSE |