Syntactic n-grams in Computational Linguistics
This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.e., the linear structure. In this book, we propose and system...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | SpringerBriefs in Computer Science,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- Introduction
- PART I. VECTOR SPACE MODEL IN THE ANALYSIS OF SIMILARITY BETWEEN TEXTS
- Chapter 1. Formalization in computational linguistics
- Chapter 2. Vector space model
- Chapter 3. Vector space model for texts and the tf-idf measure
- Chapter 4. Latent Semantic Analysis (LSA): reduction of dimensions
- Chapter 5. Design of experiments in computational linguistics
- Chapter 6. Example of application of n-grams: authorship attribution using n-grams of syllables
- PART II. NON-LINEAR CONSTRUCTION OF N-GRAMS
- Chapter 7. Syntactic n-grams: the concept
- Chapter 8. Types of syntactic n-grams according to their components
- Chapter 9. Continuous and non-continuous syntactic n-grams
- Chapter 10. Metalanguage of syntactic n-grams representation
- Chapter 11. Examples of construction of non-continuous syntactic n-grams
- Chapter 12. Automatic analysis of authorship using syntactic n-grams
- Chapter 13. Filtered n-grams
- Chapter 14. Generalized n-grams.