Open AccessPruning sparse non-negative matrix n-gram language models
Author(s) -
Joris Pelemans,
Noam Shazeer,
Ciprian Chelba
Publication year - 2015
Publication title -
interspeech 2022
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2015-343
Subject(s) - perplexity , language model , pruning , computer science , benchmark (surveying) , n gram , word (group theory) , artificial intelligence , sparse matrix , matrix (chemical analysis) , speech recognition , algorithm , mathematics , materials science , quantum mechanics , gaussian , agronomy , composite material , biology , geometry , geodesy , geography , physics
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