from domainextractor import DomainExtractor from runconfiguration import * from ngramperplexity import NGramPerplexity import sys general_corpora_dir = "corpora/big" specific_corpora_dir = "corpora/small" output_dir = "corpora/output/monolingual" NGramPerplexity.ngram_size = 2 RUN_CONFIGURATION.mode = MODE.STATISTICS if len(sys.argv) > 1: RUN_CONFIGURATION.workers = int(sys.argv[1]) # Number of workers RUN_CONFIGURATION.worker_id = int(sys.argv[2]) # Current worker id, should be >= 1 and <= number of workers threshold_tfidf = 0.963 # range [0.0,1.0]: lower value = more similar data extracted threshold_perplexity_ngram = 458 # range [0.0,infinite]: lower value = more similar data extracted threshold_edit_distance = 0.80 # range [0.0,1.0]: lower value = more similar data extracted domain_extractor = DomainExtractor(general_corpora_dir, specific_corpora_dir, output_dir) domain_extractor.run_mono(threshold_tfidf, threshold_perplexity_ngram, threshold_edit_distance)
from domainextractor import DomainExtractor from runconfiguration import * from ngramperplexity import NGramPerplexity import sys general_corpora_dir = "corpora/big" specific_corpora_dir = "corpora/small" output_dir = "corpora/output/monolingual" NGramPerplexity.ngram_size = 2 RUN_CONFIGURATION.mode = MODE.STATISTICS if len(sys.argv) > 1: RUN_CONFIGURATION.workers = int(sys.argv[1]) # Number of workers RUN_CONFIGURATION.worker_id = int( sys.argv[2] ) # Current worker id, should be >= 1 and <= number of workers threshold_tfidf = 0.963 # range [0.0,1.0]: lower value = more similar data extracted threshold_perplexity_ngram = 458 # range [0.0,infinite]: lower value = more similar data extracted threshold_edit_distance = 0.80 # range [0.0,1.0]: lower value = more similar data extracted domain_extractor = DomainExtractor(general_corpora_dir, specific_corpora_dir, output_dir) domain_extractor.run_mono(threshold_tfidf, threshold_perplexity_ngram, threshold_edit_distance)