PPT-CS 124/LINGUIST 180 From Languages to Information

Author : liane-varnes | Published Date : 2018-11-09

Conversational Agents Dan Jurafsky Stanford University Conversational Agents AKA Dialog Agents Phonebased Personal Assistants SIRI Cortana Google Now Talking

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CS 124/LINGUIST 180 From Languages to Information: Transcript


Conversational Agents Dan Jurafsky Stanford University Conversational Agents AKA Dialog Agents Phonebased Personal Assistants SIRI Cortana Google Now Talking to your car Communicating with robots. References http://bjp.rcpsych.org/content/180/2/174#BIBL permissionsReprints/ permissions@rcpsych.ac.ukwrite to to this article atYou can respond /letters/submit/bjprcpsych;180/2/174 from Downloaded Sensors. (bit incomplete. , still). Sensing Categories. Voltage. starting easy: analog in. Distance. acoustic or light. Speed. hard; usu. via distance. Acceleration. accelerometers. Light Level. phototransistors, photodiodes. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . and Language Diversity. Listening, Reading and Vocabulary. բարի լույս. 早安. B. onjour. G. uten . Morgen. καλημέρα. おはようございます. 좋은 아침. صبح به خیر. D. Sensors. (. always incomplete. ). adapted from T. Murphy’s lectures. Sensing Categories. Voltage. starting easy: analog in. Distance. acoustic or light. Speed. hard; usu. via distance. Acceleration. Adapted from T. Murphy’s lectures. The Rubric, Once Again. Sense some real-world quantity. input: analog or digital. sensor or user input (switches, keypad). Process the information. code in software. Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. Moving from a Standard to Practical Application. Don Langston, President & CEO of Aire Rite Air Conditioning & Refrigeration Inc.. March 12. th. , 2016. 1. What We . W. ill Cover Today?. O. verview of the development, purpose and design of Maintenance Standard 180. to Information. Conversational Agents. Dan Jurafsky. Stanford University. Conversational Agents . AKA Dialog Agents. Phone-based Personal Assistants . . SIRI, Cortana, Google Now. Talking to your car. Dan Jurafsky. Stanford University . Logistic Regression. Logistic Regression. Important analytic tool in natural and social sciences. Baseline supervised machine learning tool for classification. Is also the foundation of a neural network. Unix for Poets . Dan Jurafsky. (original by Ken Church, modifications by me and Chris Manning). Stanford University . Unix for Poets. Text is everywhere. The Web. Dictionaries, corpora, email, etc. . Unix for Poets . Dan Jurafsky. (original by Ken Church, modifications by me and Chris Manning). Stanford University . Unix for Poets. Text is everywhere. The Web. Dictionaries, corpora, email, etc. . Dan Jurafsky. Stanford University . Social Networks: Small Worlds, Weak Ties, and Power Laws. Slides from Jure . Leskovec. , . Lada. . Adamic. , James . Moody, Bing Liu, . Networks. I. nformation in networks, not just text!. LANGUAGE IN EDUCATION THEORY AND PRACTICELinguist in Speech PathologyWalt Wolframhed byApplied Linguisticsarec byearinghouse on Lauguages and LinguisticsBN87281-078-X78fight Q 1978Center for Applied L

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