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Update README.md
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tmbdev committed Apr 24, 2015
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Expand Up @@ -88,6 +88,11 @@ options and currently requiresloading training data into HDF5 files, instead
of being trained off a list of image files directly (image file-based training
will be added to `clstmctc` soon).

The CLSTM project also provides LSTM-based language modeling that works very
well with post-processing and correcting OCR output, as well as solving a number
of other OCR-related tasks, such as dehyphenation or changes in orthography
(see our publications). You can train language models using `clstmtext`.

Generally, your best bet for CLSTM and OCRopy is to rely only on the command
line tools; that makes it easy to replace different components. In addition, you
should keep your OCR training data in .png/.gt.txt files so that you can easily
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