PPT-Uncertain input and noisy-channel sentence comprehension

Roger Levy UC San Diego LSA Institute 2011 26 July 2011 Garden Paths What we dont understand so well In previous days we covered idealobserver models of syntactic comprehension Today well add nuance to this picture. The bit stream representation of a symbol is called the codeword of that symbol Di64256erent error control mechanisms Linear Block Codes Repetition Codes Convolution Codes brPage 2br Linear Block Codes A code is linear if two codes are added using m Checking in. . By the end of this week you need to have:. Watched the online videos corresponding to the first 6 chapters of . IIR . or/and . read chapters 1–6 of the book. Done programming assignment 1 (due Thursday). LanguageModelTransli-TerationModelChannelDecoderargmax Figure 1. The noisy channel model in ma-Under the noisy channel model, the back-transliteration problem is to find out the most probable word , g A situation-space model. Stefan Frank. Department of Cognitive, Perceptual and Brain Sciences. University College London. s.frank@ucl.ac.uk. sentence comprehension. cognitive modelling. information theory. Lecture . 3 . – . Bandwidth. Bandwidth of a Signal. Bandwidth. can be defined as the portion of the electromagnetic spectrum occupied by the signal . It may also be defined as the frequency range over which a signal is transmitted. . LIN3022 Natural Language Processing. Lecture 8. In this lecture. We begin to look at the task of. syntactic parsing. Overview of grammar formalisms (especially CFGs). Overview of parsing algorithms. Al Harbi. Psycholinguistics. Psycholinguistics is concerned with language and the brain.. To be a perfect . psycholinguistist. , . you would need to have a comprehensive understanding of the way the brain operates, the processes by which we perceive and interpret the world, and the variety of categories that are found in human language.. Robust Control Toolbox. Reza . Alinezhad. . Aliakbar. . Afzalian. . Jan 2012. 2. Reza Alinezhad Aliakbar Afzalian. Outline. Modeling uncertainty . Uncertain Elements. Uncertain . Chun Lam Chan. , Pak . Hou. . Che. and . Sidharth. . Jaggi. The Chinese University of Hong Kong. Venkatesh. . Saligrama. Boston University. Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. Arijit Khan. Systems Group. ETH Zurich. Lei Chen. Hong . Kong University of Science and Technology. Social Network. Transportation Network. Chemical Compound. Biological Network. Graphs are Everywhere. D. Kemighan Kenneth W. Church William A. Gale AT&T Bell Laboratories 600 Mountain Ave. Murray Hill, N.J., USA paper describes a new program, takes words rejected by the Unix CS. . 118. Computer Network Fundamentals. . Peter Reiher. . Split things . . .. . Send a 0. Send a 1. Receive a 0. Receive a 1. .5. 0. 1. .5. More complex noise . . .. What is the capacity of . this last channel?. Spikes in trigger rate. Periodic:. With B ON in 2008 . Without B on during MWGR18 . Sporadic . MWGR 19. Strip noise profile. 6 may . 22 April. REASON: HV problem in RB1 out sect 12. Noisy topology. The Spelling Correction Task. Applications for spelling correction. 2. Web search. Phones. Word processing. Spelling Tasks. Spelling Error Detection. Spelling Error Correction:. Autocorrect . hte. .