A Probabilistic Model for the Arc Length in Quantitative Linguistics

Chapters in this book

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