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ocr-d
cor-asv-fst
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2428cca3e14b6ee28a25ba96049f29981f408d5f
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6
fst-hotfixes
fst-refactoring-2
master
default
protected
sliding-window-no-flags
st-error-model
wrapping
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:package: 0.2.1
master remote_m…
master remote_mirror_c268495fea0b45dbe6ef906e0a4a07fd/master
Merge pull request #5 from kba/fileids-and-such
Update requirements.txt
wrapper.decode: set pageId, use .xml suffix
make test: warn that this does not do much
FSTCorrection: use make_file_id and assert_file_grp_cardinality
make test
add deps-ubuntu, build OpenFST locally to satisfy pynini requirements
cannot trust pynini from PyPI
fix parameters and requirements:
fix OCR-D interfaces:
add cor-asv-fst-models subrepo
add symlink to tool json
Integrated the ST error model with the current code
Training lexicon from a corpus or wordlist
mention ocrd_keraslm in the readme
Added docstrings and some cleaning
CLI parameter --unweighted-lexicon
rename the PageXML processor class and restore its functionality
moved all the content of `lib.sliding_window` to `lib.latticegen`
integrate the ocrd_keraslm language model into plaintext processing
class `FSTLatticeGenerator` for generating the hypotheses
Introduced the class `scripts.process.PlaintextProcessor`
`wrapper.decode.FSTCorrection` rewritten
clean up some deprecated parameters
made the beam width configurable
Removed the script for running comparisons
Removed the NLTK dependency
Removed the `alignment` dependency and related code
removed unnecessary imports
Removed the HFST dependency and HFST-related code
Remove the directory `lib.__DEPRECATED__`
Remove the CLIs from `lib.lexicon` and `lib.error_simp`
Removed the C++ extension + version bump
Implemented the FST processing using Pynini
removed the HFST import in `scripts.process`
works around #1
moved the modules containing entry points from `lib` to `scripts`
Adopt the new implementation of sliding window (without flags)
removed `test_sliding_window_no_flags`
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