Forms and degrees of repetition in texts : detection and analysis /

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The volume presents objective methods to detect and analyse various forms of repetitions. Repetition of textual elements is more than a superficial phenomenon. It may even be considered as constitutive for units and relations in a text: on a primary level when no other way exists to establish a unit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Altmann, Gabriel (Editor ), Köhler, Reinhard (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter Mouton, [2015]
Colección:Quantitative linguistics ; v. 68.
Temas:
Writing > Mathematical models.
Repetition (Rhetoric)
Linguistics > Statistical methods.
Linguistics > Methodology.
Écriture > Modèles mathématiques.
Répétition (Rhétorique)
Linguistique > Méthodes statistiques.
Linguistique > Méthodologie.
PSYCHOLOGY > Social Psychology.
Linguistics > Methodology
Linguistics > Statistical methods
Writing
Wiederholung
Textanalyse
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Foreword; Foreword; Contents; Contents; 1 Introduction; 1.1 The universe of discourse; 1 Introduction; 1.1 The universe of discourse; 1.2 Forms of repetitions; 1.2 Forms of repetitions; 1.3 Prolegomena for a future text theory; 1.3 Prolegomena for a future text theory; 2 Shapeless Repetition; 2 Shapeless Repetition; 2.1 Phonic effects; 2.1 Phonic effects; 2.2 Two variables; 2.2.1 The activity index; 2.2 Two variables; 2.2.1 The activity index; 2.2.2 Excursus; 2.2.2 Excursus; 2.2.3 Comparing activity indices; 2.2.3 Comparing activity indices; 2.3 Global indicators; 2.3 Global indicators.
  • 2.3.1 Entropy2.3.1 Entropy; 2.3.2 Comparison of two entropy values; 2.3.2 Comparison of two entropy values; 2.3.3 The repeat rate; 2.3.3 The repeat rate; 2.3.4 Moments of distributions; 2.3.4 Moments of distributions; 2.4 Modelling using probability distributions; 2.4 Modelling using probability distributions; 2.5 Some text laws; 2.5.1 The Zipf-Mandelbrot Law; 2.5 Some text laws; 2.5.1 The Zipf-Mandelbrot Law; 2.5.2 The Simon-Herdan Model; 2.5.2 The Simon-Herdan Model; 2.5.3 Hrebícek's Reference Law; 2.5.3 Hrebícek's Reference Law; 2.5.4 Type-Token Models; 2.5.4 Type-Token Models.
  • 2.5.5 Perspectives2.5.5 Perspectives; 3 Positional repetition; 3.1 The rhyme in "Erlkönig"; 3 Positional repetition; 3.1 The rhyme in "Erlkönig"; 3.2 Open rhymes; 3.2 Open rhymes; 3.3 The gradual climax; 3.3.1 The linear climax; 3.3 The gradual climax; 3.3.1 The linear climax; 3.3.2 Reduced climax; 3.3.2 Reduced climax; 3.3.3 The exponential climax; 3.3.3 The exponential climax; 3.4 Other positional repetitions; 3.4 Other positional repetitions; 4 Associative repetition; 4 Associative repetition; 4.1 Associative repetition of two words; 4.1 Associative repetition of two words.
  • 4.1.1 Short texts4.1.1 Short texts; 4.1.2 Long texts; 4.1.2 Long texts; 4.2 Presentation; 4.2 Presentation; 4.3 The minimal (acyclic) graph; 4.3 The minimal (acyclic) graph; 4.4 Vistas; 4.4 Vistas; 5 Iterative repetition; 5 Iterative repetition; 5.1 Binary sequences; 5.1 Binary sequences; 5.2 Large samples; 5.3 Comparison of runs in two texts; 5.2 Large samples; 5.3 Comparison of runs in two texts; 5.4 Runs of more than two kinds of elements; 5.4 Runs of more than two kinds of elements; 6 Aggregative repetition; 6.1 Random distances: binary data; 6 Aggregative repetition.
  • 6.1 Random distances: binary data6.2 Models of aggregation trends; 6.2 Models of aggregation trends; 6.3 Brainerd's Markov-chain model; 6.3 Brainerd's Markov-chain model; 6.4 Non-binary data; 6.4 Non-binary data; 6.5 Similarity aggregation; 6.5 Similarity aggregation; 6.6 Vistas; 6.6 Vistas; 7 Repetition in blocks; 7 Repetition in blocks; 7.1 The Frumkina law; 7.1 The Frumkina law; 7.2 Testing the Frumkina law; 7.2 Testing the Frumkina law; 7.3 Vistas; 7.3 Vistas; 8 Parallel repetitions; 8 Parallel repetitions; 8.1 Cochran's Q-test; 8.1 Cochran's Q-test; 8.2 Analysis of variance.

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