PPT-N-Gram Language Models ChengXiang Zhai Department of Computer Science

Author : briana-ranney | Published Date : 2019-11-01

NGram Language Models ChengXiang Zhai Department of Computer Science University of Illinois UrbanaChampaign 1 Outline General questions to ask about a language model

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "N-Gram Language Models ChengXiang Zhai..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

N-Gram Language Models ChengXiang Zhai Department of Computer Science: Transcript


NGram Language Models ChengXiang Zhai Department of Computer Science University of Illinois UrbanaChampaign 1 Outline General questions to ask about a language model Ngram language models. edu ChengXiang Zhai Department of Computer Science University of Illinois at UrbanaChampaign Urbana IL 61801 czhaicsuiucedu Neel Sundaresan eBay Research Labs 2145 Hamilton Avenue San Jose CA 95125 nsundaresanebaycom ABSTRACT Web 20 technologies have Model P(hetoxf) P(thefox) 1-gram 1:83109 1:83109 2-gram 3:261011 1:18107 3-gram 1:891013 1:04106 OveralongersequenceXoflengthN,wecanalsocalculatelog2(P(X))=N,which(perShan-non)givesthecom CMSC 723: Computational Linguistics I ― Session #9. Jimmy Lin. The . iSchool. University of Maryland. Wednesday, October 28, 2009. N-Gram Language Models. What? . LMs assign probabilities to sequences of tokens. Language Modeling. Estimating bigram probabilities. An example. Small Corpus:. <s. > I am Sam </s>. <s> Sam I am </s>. <s> I do not like green eggs and ham </s>. More examples: . Corpora and Statistical Methods. Lecture 7. In this lecture. We consider one of the basic tasks in Statistical NLP:. language models . are probabilistic representations of allowable sequences . This part:. Instructor: Paul Tarau, based on . Rada. . Mihalcea’s. original slides. Note. : some of the material in this slide set was adapted from an NLP course taught by Bonnie Dorr at Univ. of Maryland. Language Models. Sonoma State University. What type of person becomes a Computer Scientist?. People who are:. Creative. Problem solvers. Curious. What do. . Computer Science students study at. Sonoma State University ?. Physical differences & clinical . signifigance. . . Figure 4.8b. Gram- positive bacteria. Gram-negative bacteria. Figure 4.8a. Gram-Positive cell walls. Teichoic acids:. Lipoteichoic acid links to plasma membrane. Department. Davis . Farish. , Scott Grace, Kyle . Sarantsev. , Chris Walton, Chris Witter. Agenda. Project Origin/Goal. Microsoft Kinect. Vail Sport Test (VST). Development Environment. System. Video Demo. Basic vs. acidic dyes. Differential Stain. Primary stain (stains all cells on slide). Decolorizing step (removes stain from certain types of cells). Counterstain (stains the decolorized cells). Differentiate bacteria into two large groups (the Gram Positive and the Gram negative).. Gram status is important in medicine; the presence or absence of a cell wall will change the bacterium's susceptibility to some antibiotics. 1 The slide is washed in water; excess water is removed using a blotting paper, dried in air and heat fixed before observing under microscope. Those bacteria that hold on to primary dye-iodine comple ve Cocci Flowchart This job aid is a component of the free, ondemand CDC training course “Biochemicals and Gram Positive Organism Identification.” Find the course at https://www.cdc.gov/la Gram Positive. Gram Negative. Gram-Positive bacteria. Gram-Negative bacteria. Cell Wall. A single-layered, smooth cell wall.  A double-layered, wavy cell-wall. Cell Wall thickness. The thickness of the cell wall is 20 to 80 .

Download Document

Here is the link to download the presentation.
"N-Gram Language Models ChengXiang Zhai Department of Computer Science"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents