5 Significant bigrams are obtained using the n-gram statistics package NSP ( Banerjee and Pedersen 2003 ) , which offers statistical tests to decide whether to accept or reject the null hypothesis regarding a bigram ( that it is not a collocation ) .
the design implementation and use of computational linguistics volume 35 number 4 the ngram statistics package in cicling
S Banerjee T Pedersen
Nonetheless , in the future , it may be worth investigating a TF.IDF-based representation . 5 Significant bigrams are obtained using the n-gram statistics package NSP ( Banerjee and Pedersen 2003 ) , which offers statistical tests to decide whether to accept or reject the null hypothesis regarding a bigram ( that it is not a collocation ) . As discussed in Section 2 , there are situations that can not be addressed by a document-level approach , because requests only predict or match portions of responses .
5 Significant bigrams are obtained using the n-gram statistics package NSP ( @@CITATION ) , which offers statistical tests to decide whether to accept or reject the null hypothesis regarding a bigram ( that it is not a collocation ) .