Syntactic n-grams in Computational Linguistics

• Κύριος συγγραφέας: Sidorov, Grigori (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Natural language processing (Computer science).; Computational linguistics.; Natural Language Processing (NLP).; 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...

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.