Syntactic n-grams in Computational Linguistics. (2019)

• Record Type: Book
• Further Information: Note: Grigori Sidorov.
• Authors: Sidorov, Grigori
• 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.
• Publisher Details: Cham : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource (92 pages)
• Subjects: Computer science; Natural language processing (Computer science); Computational linguistics; Language Arts & Disciplines -- Linguistics -- General; Computational linguistics; Computers -- Speech & Audio Processing; Natural language & machine translation
• Languages: English
• ISBNs: 9783030147716
• Related ISBNs: 9783030147709
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.