Static Hash-Based Lookup for Google Ngram Frequencies
Project description
gngram-lookup
Word frequency from 500 years of books. O(1) lookup. 5 million words.
Install
pip install gngram-lookup
python -m gngram_lookup.download_data
Python
import gngram_lookup as ng
ng.exists('computer') # True
ng.exists('xyznotaword') # False
ng.frequency('computer')
# {'peak_tf': 2000, 'peak_df': 2000, 'sum_tf': 892451, 'sum_df': 312876}
ng.batch_frequency(['the', 'algorithm', 'xyznotaword'])
# {'the': {...}, 'algorithm': {...}, 'xyznotaword': None}
CLI
gngram-exists computer # True, exit 0
gngram-exists xyznotaword # False, exit 1
gngram-freq computer
# peak_tf_decade: 2000
# peak_df_decade: 2000
# sum_tf: 892451
# sum_df: 312876
Docs
See Also
- bnc-lookup - O(1) lookup for British National Corpus
- wordnet-lookup - O(1) lookup for WordNet
Attribution
Data derived from the Google Books Ngram dataset.
License
Proprietary. See LICENSE.
Project details
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