Introduction to SRILM Toolkit

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Format of the Lexicon• Lexicon: “Lexicon2003-72k.txt”巴八扒叭- Vocabulary size: 71695- Maximum character-length of a word: 10墨竹默祝末梢沒收墨守陌生……12

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

Further Topics on Random Variables: Others - Berlin Chen

Format of the Lexicon• Lexicon: “Lexicon2003-72k.txt”巴八扒叭- Vocabulary size: 71695- Maximum character-length of a word: 10墨竹默祝末梢沒收墨守陌生……12

• CommandGenerating the N-gram Count Filengram-count -vocab Lexicon2003-72k.txt-text CNA0001-2M.Train-order 3-write CNA0001-2M.count-unk– Parameter Settings-vocab: lexicon file name-text: training corpus name-order: n-gram count-write: output countfile name-unk: mark OOV as 13

Page 2: Available Web Resources• SRILM:
Page 5 and 6: Steps for Installing Cygwin (cont.)
Page 7 and 8: Steps for Installing SRILM Toolkit
Page 9 and 10: Environmental Setups• Change cygw
Page 11: Format of the Training Corpus• Co
Page 15 and 16: Generating the N-gram Language mode
Page 17 and 18: • Command:Calculating the Test Da
Page 19: Other Discounting Techniques (cont.

Introduction to SRILM Toolkit

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