'Language modeling' diaporamas de présentation

Language Modeling

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Clustering and NLP

Clustering and NLP. Slides by me, Sidhartha Shakya, Pedro Domingos, D. Gunopulos, A.L. Yuille, Andrew Moore, and others. Outline. Clustering Overview Sample Clustering Techniques for NLP K-means Agglomerative Model-based (EM). Clustering Overview. What is clustering?.

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Natural Language Processing in 2004

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Introduction to language modeling

Introduction to language modeling. Dr. Mohamed Waleed Fakhr AAST Language Engineering Conference 22 December 2009. Topics. Why a language model? Probability in brief Word prediction task Language modeling (N-grams) N-gram intro. Model evaluation Smoothing Other modeling approaches.

927 views • 69 slides

Intelligent Systems

Intelligent Systems. Lecture 22 Introduction to Speech Recognition (based on B.Carpenter, J.Chu-Carrol, 1999). Tutorial Overview: Data Flow. Part I. Part II. Semantic Interpretation. Signal Processing. Speech Recognition. Discourse Interpretation. Dialogue Management. Speech

711 views • 60 slides

Minimum Classification Error (MCE) Approach in Pattern Recognition

Minimum Classification Error (MCE) Approach in Pattern Recognition. Wu Chou, Avaya Labs Research, Avaya Inc., USA. Outline (1/2). Introduction Optimal Classifier from Bayes Desicion Theory Discriminant Function Approach to Classifier Design Speech Recogniation and Hidden Markov Modeling

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Language Models for Information Retrieval

Language Models for Information Retrieval. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References: 1. W. B. Croft and J. Lafferty (Editors). Language Modeling for Information Retrieval. July 2003

1.21k views • 42 slides

Introduction to Natural Language Processing and Speech

Introduction to Natural Language Processing and Speech. Computer Science Research Practicum Fall 2012 Andrew Rosenberg. Artificial Intelligence. AI is no longer a single subdiscipline in computer science Natural Language Processing Speech/Spoken Language Processing Robotics

469 views • 30 slides

Computer speech

Computer speech. Speech synthesis Recording and sampling Speech recognition Apr. 5. Speech synthesis. Wolfgang von Kempelen (1734-1804) constructed one of the first working synthesizers. It had a reed that kept vibrating by an airstream from bellows.

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*Textbooks you need

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Word-counts and N-grams

School of Computing FACULTY OF ENGINEERING . Word-counts and N-grams. COMP3310 Natural Language Processing Eric Atwell, Language Research Group (with thanks to Katja Markert, Marti Hearst, and other contributors). Reminder. Tokenization - by whitespace, regular expressions

320 views • 23 slides

Misha Bilenko and Ryen White presented by Matt Richardson Microsoft Research

Mining the Search Trails of Surfing Crowds: Identifying Relevant Websites from User Activity Data. Misha Bilenko and Ryen White presented by Matt Richardson Microsoft Research. Search = Modeling User Behavior. Retrieval functions estimate relevance from behavior of several user groups:

386 views • 21 slides

Building an Augmented Index for Genomic Information Retrieval

Building an Augmented Index for Genomic Information Retrieval. Hohyon Ryu , Xiangming Mu, Kun Lu University of Wisconsin-Milwaukee School of Information Science Information Intelligence & Architecture Research Lab. Problems in Genomic Information Retrieval. Introduction.

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Outline

SEMI-SUPERVISED LEARNING OF LANGUAGE MODEL USING UNSUPERVISED TOPIC MODEL Shuanhu Bai1, Chien -Lin Huang1, Bin Ma1 and Haizhou Li. Outline . Introduction Learning method Learning strategies Weighted topic decomposition Weighted N-gram counts Experiments Conclusions. Introduction.

196 views • 11 slides

LSTM Neural Networks for Language Modeling

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Midterm Review

Midterm Review. CS4705 Natural Language Processing. Midterm Review. Statistical v. Symbolic Processing 80/20 Rule Regular Expressions Finite State Automata Determinism v. non-determinism (Weighted) Finite State Transducers Morphology Word Classes and p.o.s.

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Midterm Review

Midterm Review. CS4705 Natural Language Processing. Midterm Review. Regular Expressions Finite State Automata Determinism v. non-determinism (Weighted) Finite State Transducers Morphology Word Classes and p.o.s . Inflectional v. Derivational Affixation, infixation , concatenation

160 views • 7 slides

Midterm Review

Midterm Review. CS4705 Natural Language Processing. Midterm Review. Regular Expressions Finite State Automata Determinism v. non-determinism (Weighted) Finite State Transducers Morphology Word Classes and p.o.s. Inflectional v. Derivational Affixation, infixation, concatenation

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Austronesian Societies: Reading Social Structure from the Genome

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