100+ Log prob PowerPoint (PPT) Presentations, Log prob PPTs

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Unsupervised learning of natural language morphology

Unsupervised learning of natural language morphology. John Goldsmith University of Chicago May 2005. The goal is to learn about language structure . Controversy: how much structure is innate, hence need not be learned?

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1.51k views • 133 slides

Linguistica : Unsupervised Learning of Natural Language Morphology Using MDL

Linguistica : Unsupervised Learning of Natural Language Morphology Using MDL. John Goldsmith Department of Linguistics The University of Chicago. The Goal:. To develop a program that learns the structure of words in any human language on the basis of a raw text.

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796 views • 69 slides

Probabilistic models in phonology

Probabilistic models in phonology. John Goldsmith LSA Institute 2003. Aims for today. Explain the basics of a probabilistic model: notion of a distribution, etc. List some possible uses for such a model Explore English data, perhaps French, Japanese, Dutch

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622 views • 47 slides

Finite state automaton (FSA)

Finite state automaton (FSA). LING 570 Fei Xia Week 3: 10/8/2007. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A. Hw1. Need to test your code on patas Windows carriage return vs. unix newline Your machine could yield different results

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742 views • 38 slides

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Unsupervised learning of natural language morphology

Linguistica : Unsupervised Learning of Natural Language Morphology Using MDL

Probabilistic models in phonology

Finite state automaton (FSA)