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The top documents tagged [bigram probabilities]
Language Models & Smoothing Shallow Processing Techniques for NLP Ling570 October 19, 2011
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1991 GoodTuringSmoothing-A Comparison of the Enhanced Good-Turing and Deleted Estimation Methods for Estimating Probabilities of English Bigrams
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Seminar report on a statistical approach to machine
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Introduction to N-grams Language Modeling. Dan Jurafsky Probabilistic Language Models Today’s goal: assign a probability to a sentence Machine Translation:
242 views
A* Search Uses evaluation function f (n)= g(n) + h(n) where n is a node. – g is a cost function Total cost incurred so far from initial state at node n
220 views
LING 438/538 Computational Linguistics Sandiway Fong Lecture 20: 11/8
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LING 581: Advanced Computational Linguistics Lecture Notes January 12th
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T-61.184 Informaatiotekniikan erikoiskurssi IV
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Tutorial - I
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A* Search
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CS 4705 Lecture 14 Corpus Linguistics II. Relating Conditionals and Priors P(A | B) = P(A ^ B) / P(B) –Or, P(A ^ B) = P(A | B) P(B) Bayes Theorem lets
219 views
LING/C SC 581: Advanced Computational Linguistics Lecture Notes Jan 22 nd
216 views