'Minimum edit distance' presentation slideshows

CS 224S / LINGUIST 285 Spoken Language Processing

CS 224S / LINGUIST 285 Spoken Language Processing. Dan Jurafsky Stanford University Spring 2014 Lecture 3 : ASR: HMMs, Forward, Viterbi. Outline for Today. ASR Architecture Decoding with HMMs Forward Viterbi Decoding How this fits into the ASR component of course

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Design and Implementation of Speech Recognition Systems

Design and Implementation of Speech Recognition Systems. Spring 2014 Class 4: Dynamic Time Warping 5 Feb 2014. English or German?. The European Commission has just announced that English, and not German, will be the official language of the European Union.

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CPSC 503 Computational Linguistics

CPSC 503 Computational Linguistics. Lecture 5 Giuseppe Carenini. Today 23/9. Min Edit Distance n -grams Model evaluation. Minimum Edit Distance. Def. Minimum number of edit operations (insertion, deletion and substitution) needed to transform one string into another. gumbo gumb gum

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CS 4705 Part of Speech Tagging

CS 4705 Part of Speech Tagging. Slides adapted from Bonnie Dorr, Julia Hirschberg, Dan Jurafsky, and James Martin. Outline. Finishing up Last time Evaluation Other Methods Transformation rule based Markov Chains. Evaluating performance. How do we know how well a tagger does?

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CPSC 503 Computational Linguistics

CPSC 503 Computational Linguistics. Lecture 4 Giuseppe Carenini. Today Jan 16. Min Edit Distance relatively simple example of dynamic programming: key techniques in NLP Min Edit Distance has applications throughout NLP Language models: probability of a sentence (n -grams).

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CPSC 503 Computational Linguistics

CPSC 503 Computational Linguistics. Lecture 4 Giuseppe Carenini. Knowledge-Formalisms Map (including probabilistic formalisms). State Machines (and prob. versions) (Finite State Automata,Finite State Transducers, Markov Models ). Morphology. Logical formalisms (First-Order Logics).

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Natural Language Processing Project Proposals Dynamic Programming Language Modeling

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Gene Matching Using JBits

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Gene Matching Using JBits

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Methodology for Authoring Dialogues

Methodology for Authoring Dialogues. Pamela Jordan University of Pittsburgh Learning Research and Development Center. Agenda. Methodology for authoring dialogues Some lessons learned on authoring computer-mediated dialogues Next steps for projects & discussion.

402 views • 20 slides

Methodology for Authoring Dialogues

Methodology for Authoring Dialogues. Pamela Jordan University of Pittsburgh Learning Research and Development Center. Agenda. Methodology for authoring dialogues Some lessons learned on authoring computer-mediated dialogues Next steps for projects & discussion.

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Minimum Edit Distance

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Minimum Edit Distance

Minimum Edit Distance. Weighted Minimum Edit Distance. Weighted Edit Distance. Why would we add weights to the computation? Spell Correction: some letters are more likely to be mistyped than others Biology: certain kinds of deletions or insertions are more likely than others.

212 views • 7 slides