Viterbi - Studienführer, Klassennotizen & Zusammenfassungen

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UNIT II:Word Level Analysis:Unsmoothed N-grams, Evaluating N-grams, Smoothing, Interpolation and Backoff – Word Classes, Part-of-Speech Tagging, Rule-based, Stochastic and Transformation-based tagging, Issues in PoS tagging – Hidden Markov and Maximum Entropy models,Viterbi algorithms and EM training.

Übung zur Klausurvorbereitung, Viterbi Algorithmus

The document includes the following topics - UNIT I:Introduction: Origins and challenges of NLP – Language Modeling: Grammar based LM, Statistical LM – Regular Expressions, Finite-State Automata – English Morphology, Transducers for lexicon and rules, Tokenization, Detecting and Correcting Spelling Errors, Minimum Edit Distance. UNIT II:Word Level Analysis:Unsmoothed N-grams, Evaluating N-grams, Smoothing, Interpolation and Backoff – Word Classes, Part-of-Speech Tagging, Rule-based, ...

Zusammenfassung für Kurs 64311 Kommunikations-und Rechnernetze. Strukturiert in : - Was ist ein Rechnernetz - Was sind Kernfragen der Parallelverarbeitung - Was ist der Zweck von Strukturen - Was ist ein Zeichen/ Signal und was ist eine Nachricht - Was ist das OSI-Referenzmodell - Wo sind Einsatzgebiete der verschiedenen Frequenzen - Welche Möglichkeiten der elektronischen Bezahlung gibt es?