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Bigram

Known as: Skipping bigrams, Skipping bigram, Bigram frequency attack 
A bigram or digram is a sequence of two adjacent elements from a string of tokens, which are typically letters, syllables, or words. A bigram is an n… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem… 
Review
2014
Review
2014
Today's Internet services rely heavily on text-based passwords for user authentication. The pervasiveness of these services… 
Highly Cited
2012
Highly Cited
2012
Variants of Naive Bayes (NB) and Support Vector Machines (SVM) are often used as baseline methods for text classification, but… 
Highly Cited
2012
Highly Cited
2012
We present an approach to detecting hate speech in online text, where hate speech is defined as abusive speech targeting specific… 
Highly Cited
2010
Highly Cited
2010
This article tests whether stock market investors appropriately distinguish between new and old information about firms. I define… 
Highly Cited
2008
Highly Cited
2008
We present a simple and effective semisupervised method for training dependency parsers. We focus on the problem of lexical… 
Highly Cited
2004
Highly Cited
2004
In this paper we describe two new objective automatic evaluation methods for machine translation. The first method is based on… 
Highly Cited
1996
Highly Cited
1996
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse… 
Highly Cited
1994
Highly Cited
1994
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model…