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<math>\Pr(e_2|f)</math> and <math>\Pr(f|e_1)</math> can be approximated by simply taking their frequencies. Adding <math>S</math> as a prior is modeled by calculating the probability of forming the <math>S</math> when <math>e_1</math> is substituted with <math>e_2</math>.
=== Long short-term memory ===
<ref name=Prakash>{{Citation|last1=Prakash|first1=Aaditya|last2=Hasan|first2=Sadid A.|last3=Lee|first3=Kathy|last4=Datla|first4=Vivek|last5=Qadir|first5=Ashequl|last6=Liu|first6=Joey|last7=Farri|first7=Oladimeji|title=Neural Paraphrase Generation with Staked Residual LSTM Networks|year=2016|url=https://arxiv.org/abs/1610.03098}}</ref>
== Paraphrase recognition ==
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