Syntactic n-grams in Computational Linguistics

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...

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Bibliographic Details
Main Author: Sidorov, Grigori (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Computer Science,
Subjects:
Natural language processing (Computer science).
Computational linguistics.
Natural Language Processing (NLP).
Computational Linguistics.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.

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