Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/355028
Title: | Development of Regression and Population Models Based on Zipfs Law and its Application to Authorship Attribution |
Researcher: | Lakshmisridevi, S |
Guide(s): | Devanathan, R |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Hindustan University |
Completed Date: | 2018 |
Abstract: | Quantitative linguistics is a relatively new area where analytical newlinetechniques and computer-based modelling are applied to linguistics texts. The newlineage-old questions, such as, Who wrote Shakespeare? , take an analytical newlinemeaning in this context. Quantitative linguistics aims to model language texts newlineincluding English language. Such models have several applications, text newlineclassification, authorship attribution, natural language identification, language newlinelearning, text forensics, medical diagnostics etc. An explosive growth in terms newlineof results appearing in various conferences ranging from language and newlineliterature through machine learning and computation to law and forensics has newlinetaken place. |
Pagination: | |
URI: | http://hdl.handle.net/10603/355028 |
Appears in Departments: | Department of Computer Application |
Files in This Item:
File | Description | Size | Format | |
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10_chapter 1.pdf | Attached File | 131.62 kB | Adobe PDF | View/Open |
11_chapter 2.pdf | 206.77 kB | Adobe PDF | View/Open | |
12_chapter 3.pdf | 2.01 MB | Adobe PDF | View/Open | |
13_chapter 4.pdf | 198.43 kB | Adobe PDF | View/Open | |
14_chapter 5.pdf | 260.78 kB | Adobe PDF | View/Open | |
15_chapter 6.pdf | 361.99 kB | Adobe PDF | View/Open | |
16_chapter 7.pdf | 230.7 kB | Adobe PDF | View/Open | |
19_references.pdf | 245.45 kB | Adobe PDF | View/Open | |
1_title.pdf | 83.29 kB | Adobe PDF | View/Open | |
2_certificate.pdf | 405.45 kB | Adobe PDF | View/Open | |
3_declaration.pdf | 165.2 kB | Adobe PDF | View/Open | |
4_abstract.pdf | 175.89 kB | Adobe PDF | View/Open | |
6_contents.pdf | 89.3 kB | Adobe PDF | View/Open | |
7_tables.pdf | 163.94 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 312.61 kB | Adobe PDF | View/Open | |
8_figures.pdf | 2.73 MB | Adobe PDF | View/Open | |
9_symbols.pdf | 180.91 kB | Adobe PDF | View/Open | |
conclusion.pdf | 141.4 kB | Adobe PDF | View/Open |
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