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[160526]CoNLL U_Arabic

Jiaqi Li edited this page Aug 3, 2016 · 1 revision

Machine: linearb

Branch: master

Command: spark-submit --driver-memory 20g --executor-memory 20g --master 'local[*]' glm_parser.py -i 5 -s 8 -p /ugrad/2/jeticg/Daten/glm-parser-data/universal-dependencies-1.2 --train="ar-ud-train.conllu" --test="ar-ud-test.conllu" -d 24-05-2016_Arabic -a --learner=average_perceptron --fgen=english_1st_fgen --parser=ceisner --config=config/conllu.config

Result: 05/28/2016 02:29:58 PM DEBUG: Initialize AveragePerceptronLearner ... 05/28/2016 02:30:12 PM DEBUG: Initialize ParallelPerceptronLearner ... 05/28/2016 03:59:06 PM DEBUG: Start evaluating ... 05/28/2016 04:04:36 PM INFO: Training time usage(seconds): 5348.149143 05/28/2016 04:04:36 PM INFO: Feature count: 3479769 05/28/2016 04:04:36 PM INFO: Unlabeled accuracy: 0.771331540965 (21804, 28268) 05/28/2016 04:04:36 PM INFO: Unlabeled attachment accuracy: 0.776888029822 (22508, 28972)

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