{{:08dependency.pdf|}}* class lectures
  * {{:lecture_1.ppt|Lecture 1 - introduction to CL course}}    
  * {{:lecture_2.ppt|Lecture 2 - continue with introduction}}    
  * {{:lecture_3.ppt|Lecture 3 - continue with introduction}}    
  * {{:lecture_4x.ppt|Lecture 4 - linguistic background}}    
  * {{:lecture_5.ppt|Lecture 5 - continue with linguistic background}} 
   
  *    {{:090401.pdf|Lecture 5 continued - regular expressions and finite state automata}}    

  * {{:lecture_6x.ppt|Lecture 6 - NL grammar hierarchies}}    
  * {{:lecture_7x.ppt|Lecture 7 - parsing and context free grammars}} 
   
  *    {{:bnf.pdf|Lecture 7 continued - parsing and context free grammar example}}  
  
  * {{:lecture_8.ppt|Lecture 8 - final word on syntax?, semantics & pragmatics}}  
  * {{:lecture_9.ppt|Lecture 9 - unification-based approach to NLP}}    
  * {{:lecture_10x.ppt|Lecture 10 - unification review, HPSG introduction, principles, rules, examples, modularity}}    
  * {{:lecture_11.ppt|Lecture 11 - HPSGs - How its done, Examples, Examples, Examples}}    
  * {{:lecture_12.ppt|Lecture 12 - Final HPSGs - Cleaning up and final aspects, semantics, overview to statistical NLP}}  
     * {{:pacling05.ppt|pacling n-gram}}  
     * {{:modularhpsg.ppt|modular hpsg}}  
     * {{:just-in-time.ppt|just in time hpsg}} 
     * {{:01basic_idea.pdf|hpsg - basic idea}}  
     * {{:02basic_systex.pdf|hpsg - basic syntax}}  
     * {{:03consituency.pdf|hpsg - consistency}}  
     * {{:04construction.pdf|hpsg - construction}}  
     * {{:06agreement.pdf|hpsg - agreement}}  
     * {{:08dependency.pdf|hpsg - dependency}}  
     * {{:09relative_clause.pdf|hpsg - relative clause}}  
     * {{:10binding_theory.pdf|hpsg - binding theory}}  
     * {{:index1.pdf|problems with cfg's}}

  * {{:statnlp.ppt|Lecture 13 - Statistical NLP Introduction}}    
  * {{:lecture02.ppt|Lecture 13+ - vector space model}}    
  * {{:lecture02-1.ppt|Lecture 13++ - more vector space model}}    

  * {{:stanford_manning14.pdf|Parsing as Search - C, Manning}}    

  * {{:vector_space_model-updated.ppt|Lecture 13 razieh’s vector space model}}    
  * {{:presentation.ppt|Lecture 13 vector space model - morteza zihayat}}    
  * {{:lecture_13_ir_and_vsm_.ppt|Lecture 13 alternative vector space model}}    
  * {{:lecture_14_text_classification.ppt|Lecture 14 elnaz text classification}}    
  * {{:lecture_14_text_classification_.ppt|Lecture 14 alternative text classification incomplete}}     
  * {{:text_classification_presentation.pdf|Lecture 14 alternative text classification - nadine dulisch}}   
  * {{:ameeta.pdf|Lecture 15 ameeta}}    
  * {{:lecture_16_haluk-presentation.pdf|Lecture 16 haluk - probabilistic modelling and joint distribution model}}    
  * {{:lecture_17_fullyindependentandnaivebayesmodels-ny.pdf|Lecture 17 nikolay - fully independent and naie bayes models}}    
  * {{:raziehn-gram_presentation.ppt|Lecture 18 razieh - n-gram models}}    
  * {{:lecture_18_ngram_models.pps.ppt|Lecture 18 bahareh - n-gram models}}    
  * {{:lecture_19_cl_-_hidden_markov_models.pdf|Lecture 19 rados - hidden markov models}}    
  * {{:hmm.ppt|Lecture 19 leah - hidden Markov models in NLP}}    
  * {{:bayesian_network.pdf|Lecture 20 Bart - Bayesian belief networks}}    
  * {{:lecture_20_bayesian-networks.ppt|Lecture 20 nariman - bayesian networks}}    
  * {{:lecture_21_probabilisticparsing.ppt|Lecture 21 dmitri - probabilistic parsing}}    
  * {{:10e-eval-2x3.pdf|Lecture 22 parser evaluation - indiana}}    

* miscellaneous lectures
  * {{:fsa-re-2009.pdf|finite state machines}}    
  * {{:just-in-time.ppt|just in time subgrammar extraction}}
  * {{:modularhpsg.ppt|modular hpsg}}
  * {{:kn-talk.ppt|machine translation}}
  * {{:dtree18.pdf|decision trees}}
  * {{:gmm14.pdf|clustering with gaussian mixtures}}
  * {{:cpe480lecture_04.ppt|syntax}}
  * {{:cpe480lecture_05-1.ppt|parsing}}
  * {{:cpe480lecture_06.ppt|semantics}}
  * {{:tagging_slides.pdf|tagging}}

  * statistical machine translation - esslli
    * {{:esslli-slides-day1.pdf|esslli 1 - intro to statistical MT}}
    * {{:esslli-slides-day2.pdf|esslli 2 - statistical MT, theory and praxis of decoding}} 
    * {{:esslli-slides-day3.pdf|esslli 3 - statistical MT, word alignment and phrase models}}
    * {{:esslli-slides-day4.pdf|esslli 4 - evaluation of translation quality}}
    * {{:esslli-slides-day5.pdf|esslli 5 - statistical MT, syntax based models}}