Introduction to SRILM Toolkit

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Format of the N-gram Count File•E.g., “CNA0001-2M.count”Counts in trainingcorpusUnigramBigramTrigram想像得到 1想像得到的 1想像得到的重大 1鳳凰 162鳳凰花 5鳳凰花 1鳳凰花開 4鳳凰 23鳳凰獎章 2鳳凰獎章 2鳳凰城 41鳳凰城 6鳳凰城及 1鳳凰城駕駛 1鳳凰城以北 1鳳凰城舉辦 1鳳凰城十八 1鳳凰城太陽 28…業界傷心 1業界統計 1業界統計分析 1業界一再 1業界一再提出 1業界希望 2業界希望迫切 1業界希望立法院 1業界出現 1業界出現一 1業界上 1業界上 1業界關係 1業界關係良好 1業界就 1業界就聚集 1…14
Generating the N-gram Language model• Commandngram-count -read CNA0001-2M.count-order 3-lm CNA0001-2M_N3_GT3-7.lm-gt1min 3 -gt1max 7-gt2min 3 -gt2max 7-gt3min 3 -gt3max 7– Parameter Settings-read: read count file-lm: output LM file name-gtnmin: Good-Turing discounting for n-gram15
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 and 12: Format of the Training Corpus• Co
Page 13: • CommandGenerating the N-gram Co
Page 17 and 18: • Command:Calculating the Test Da
Page 19: Other Discounting Techniques (cont.

Introduction to SRILM Toolkit

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