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--- resources [2014/02/04 21:38] – nick
+++ resources [2014/02/22 19:26] (current) – nick
@@ Line 46: / Line 46: @@
   * {{:tebaldi07ptrsa.pdf|fully independent modeling 6}}
-  * {{:chap16.pdf|applications of n-gram modeling 1}}
+  * {{:10_1_.1.1.87.754.pdf|applications of n-gram modeling 1}}
+  * {{:01342667.pdf|applications of n-gram modeling 2}}
-  * {{:chap16.pdf|hidden markov model 1}}
+  * {{:aaac.pdf|applications of n-gram modeling 3}}
+  * {{:d07-1045.pdf|applications of n-gram modeling 4}}
-  * {{:chap16.pdf|Bayesian networks 1}}
+  * {{:daltrec05spam.pdf|applications of n-gram modeling 5}}
+  * {{:fulltext.pdf|applications of n-gram modeling 6}}
-  * {{:chap16.pdf|probabilistic parsing 1}}
+  * {{:henke-ch6.ppt|applications of n-gram modeling 7}}
+  * {{:ijcai09-252.pdf|applications of n-gram modeling 8}}
+  * {{:j92-4003.pdf|applications of n-gram modeling 9}}
+  * {{:lecture4n-grams.ppt|applications of n-gram modeling 10}}
+  * {{:n03-1020.pdf|applications of n-gram modeling 11}}
+  * {{:nlp16.pdf|applications of n-gram modeling 12}}
+  * {{:pacling05a.pdf|applications of n-gram modeling 13}}
+  * {{:hmm_tutorial.pdf|tutorial on hidden markov model}}
+  * {{:hmm14.pdf|hidden markov models - andrew moore's slides}}
+  * {{{:nlp17.pdf|lecture 17 - hidden markov model}}
+  * {{:c96-2141.pdf|hidden markov model based word alignment}}
+  * {{:jiang_dt_survey.pdf|Discriminative training of HMMs for speech recognition: A survey}}
+  * {{:jiang_tr11.pdf|Maximum Mutual Information Estimation of HMMs in Speech Recognition}}
+  * {{:speech_rec.pdf|Speech Recognition using HMMs}}
+  * {{:psr_0708_chapter12.pdf|hidden markov models in speech recognition}}
+  * {{:speech_recog_using_hmms_2005.pdf|speech recognition}}
+  * {{:bayesinf05.pdf|Bayesian networks - andrew moore's slides}}
+  * {{:bayesnet09.pdf|more Bayesian networks - andrew moore's slides}}
+  * {{:bayesstruct05.pdf|yet more Bayesian networks - andrew moore's slides}}
+  * {{:bn.pdf|Bayesian networks}}
+  * {{:gaussbc12.pdf|and yet more Bayesian networks - andrew moore's slides}}
+  * {{:naive02.pdf|Naive Bayesian networks}}
+  * {{:nlp18.pdf|Bayesian belief networks}}
+  * {{:prob18.pdf|Probabilistic and Bayesian networks}}
+  * {{:shortbayes03.pdf|Executive summary - Bayesian networks}}
+  * {{:1104.pdf|probabilistic parsing}}
+  * {{:c00-1017.pdf|Probabilistic Parsing and Psychological Plausibility}}
+  * {{:doplecture.pdf|probabilistic parsing - ESSLLI}}
+  * {{:iicall06.pdf|Detecting grammatical errors using probabilistic parsing}}
+  * {{:lex-parser.pdf|fast exact inference - probabilistic parsing}}
+  * {{:nlp21.pdf|probabilistic parsing nlp 21}}
+  * {{:nlp22.pdf|probabilistic parsing nlp 22}}
+  * {{:p04-1069.pdf|Probabilistic Parsing Strategies}}
+  * {{:probabilistic_parsers_on_the_web.doc|probabilistic parsers on the web}}
+  * {{:unlexicalized-parsing.pdf|Accurate Unlexicalized Parsing}}