Introduction to SRILM Toolkit

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Introduction to SRILM Toolkit

Introduction to SRILM Toolkit

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Available Web Resources• <strong>SRILM</strong>: “http://www.speech.sri.com/projects/srilm/”– A <strong>to</strong>olkit for building and applying various statistical languagemodels (LMs)– Current version: 1.5.1(stable)– Can be executed in Linux environment• Cygwin: “http://www.cygwin.com/”– Cygwin is a Linux-like environment for Windows– Current version: 1.5.21-12

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First-Order Logic and Inference - Berlin Chen

Conditional Probability, Total Probability Theorem and ... - Berlin Chen

Linear Prediction Analysis of Speech Sounds - Berlin Chen

Solving Problems by Searching - Berlin Chen

Retrieval Models (III) - Latent Semantic Analysis (LSA) - Berlin Chen

Large Vocabulary Continuous Speech Recognition - Berlin Chen

Set-Based Model: A New Approach for Information Retrieval

Chapter 2: Discrete Random Variables: Basics - Berlin Chen

Generalized Vector Space Model In Information Retrieval

Supervised Learning - PAC, VC-Dimension etc. - Berlin Chen

Agent - Berlin Chen

Numerical Methods - Berlin Chen

Further Topics on Random Variables: Others - Berlin Chen

Linear Algebra Homework 1

Available Web Resources• <strong>SRILM</strong>: “http://www.speech.sri.com/projects/srilm/”– A <strong>to</strong>olkit for building and applying various statistical languagemodels (LMs)– Current version: 1.5.1(stable)– Can be executed in Linux environment• Cygwin: “http://www.cygwin.com/”– Cygwin is a Linux-like environment for Windows– Current version: 1.5.21-12

Page 4 and 5: Steps for Installing Cygwin (cont.)
Page 6 and 7: Steps for Installing SRILM ToolkitN
Page 8 and 9: Steps for Installing SRILM Toolkit
Page 10 and 11: • Three Main FunctionalitiesFunct
Page 12 and 13: Format of the Lexicon• Lexicon:
Page 14 and 15: Format of the N-gram Count File•E
Page 16 and 17: Format of the N-gram Language Model
Page 18 and 19: Other Discounting Techniques• Abs