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Textual navigation and autocorrelation
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François Bavaud
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Chapters in this book
- Frontmatter I
- Foreword V
- Contents VII
- Introduction 1
- Linguistic Analysis Based on Fuzzy Similarity Models 7
- Textual navigation and autocorrelation 35
- Menzerath-Altmann law versus random model 57
- Text length and the lambda frequency structure of a text 71
- Linguistic Motifs 89
- Linguistic Modelling of Sequential Phenomena 109
- Menzerath-Altmann Law for Word Length Motifs 125
- Is the Distribution of L-Motifs Inherited from the Word Length Distribution? 133
- Sequential Structures in “Dalimil’s Chronicle” 147
- Comparative Evaluation of String Similarity Measures for Automatic Language Classification 171
- Predicting Sales Trends 201
- Where Alice Meets Little Prince 217
- A Probabilistic Model for the Arc Length in Quantitative Linguistics 231
- Subject Index 247
- Authors Index 253
- Authors’ addresses 257
Chapters in this book
- Frontmatter I
- Foreword V
- Contents VII
- Introduction 1
- Linguistic Analysis Based on Fuzzy Similarity Models 7
- Textual navigation and autocorrelation 35
- Menzerath-Altmann law versus random model 57
- Text length and the lambda frequency structure of a text 71
- Linguistic Motifs 89
- Linguistic Modelling of Sequential Phenomena 109
- Menzerath-Altmann Law for Word Length Motifs 125
- Is the Distribution of L-Motifs Inherited from the Word Length Distribution? 133
- Sequential Structures in “Dalimil’s Chronicle” 147
- Comparative Evaluation of String Similarity Measures for Automatic Language Classification 171
- Predicting Sales Trends 201
- Where Alice Meets Little Prince 217
- A Probabilistic Model for the Arc Length in Quantitative Linguistics 231
- Subject Index 247
- Authors Index 253
- Authors’ addresses 257
