n-gram language modeling is a popular statistical language modeling (SLM) technique used to improve performance of various natural language processing (NLP) applications such as speech recognition (SR), machine translation (MT), and information retrieval (IR).
the initial results showed that the thresholds were not effective in its purpose such that only an insignificant amount of proxy trigrams were being filtered out.