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* running UD eval * printing timing of tokenizer: tokens per second * timing of default English model * structured output and parameterization to compare different runs * additional flag to allow evaluation without parsing info * printing verbose log of errors for manual inspection * printing over- and undersegmented cases (and combo's) * add under and oversegmented numbers to Score and structured output * print high-freq over/under segmented words and word shapes * printing examples as part of the structured output * print the results to file * batch run of different models and treebanks per language * cleaning up code * commandline script to process all languages in spaCy & UD * heuristic to remove blinded corpora and option to run one single best per language * pathlib instead of os for file paths |
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.. | ||
__init__.py | ||
conll17_ud_eval.py | ||
run_eval.py | ||
ud_run_test.py | ||
ud_train.py |