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Sanskrit Computational Linguistics

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Cover of 'Sanskrit Computational Linguistics'

Table of Contents

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    Book Overview
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    Chapter 1 On the Structure of Pāṇini’s System
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    Chapter 2 On the Architecture of Pāṇini’s Grammar
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    Chapter 3 Modeling Pāṇinian Grammar
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    Chapter 4 Simulating the Pāṇinian System of Sanskrit Grammar
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    Chapter 5 Computer Simulation of Aṣṭ ādhyā yī : Some Insights
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    Chapter 6 Formal Structure of Sanskrit Text: Requirements Analysis for a Mechanical Sanskrit Processor
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    Chapter 7 Analysis of Sanskrit Text: Parsing and Semantic Relations
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    Chapter 8 Inflectional Morphology Analyzer for Sanskrit
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    Chapter 9 Semantic Processing in Pāṇini’s Kāraka System
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    Chapter 10 From Pāṇinian Sandhi to Finite State Calculus
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    Chapter 11 SanskritTagger : A Stochastic Lexical and POS Tagger for Sanskrit
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    Chapter 12 A Glimpse into the Apadam -Constraint in the Tradition of Sanskrit Grammar
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    Chapter 13 A Study towards Design of an English to Sanskrit Machine Translation System
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    Chapter 14 Phonological Overgeneration in Paninian System
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    Chapter 15 Issues in Combinatorial Analysis of Vedic Verbal and Nominal Forms
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    Chapter 16 Verbal Roots in the Sanskrit Wordnet
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    Chapter 17 An Effort to Develop a Tagged Lexical Resource for Sanskrit
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    Chapter 18 Towards a Scholarly Editing System for the Next Decades
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    Chapter 19 Critical Edition of Sanskrit Texts
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    Chapter 20 Sanskrit Computational Linguistics
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    Chapter 21 Applying the OCRopus OCR System to Scholarly Sanskrit Literature
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    Chapter 22 Keyword Spotting Techniques for Sanskrit Documents
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    Chapter 23 The Phonemic Approach for Sanskrit Text
Attention for Chapter 22: Keyword Spotting Techniques for Sanskrit Documents
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Chapter title
Keyword Spotting Techniques for Sanskrit Documents
Chapter number 22
Book title
Sanskrit Computational Linguistics
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-00155-0_22
Book ISBNs
978-3-64-200154-3, 978-3-64-200155-0
Authors

Anurag Bhardwaj, Srirangaraj Setlur, Venu Govindaraju

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Ph. D. Student 3 27%
Professor > Associate Professor 1 9%
Student > Doctoral Student 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 7 64%
Arts and Humanities 1 9%
Social Sciences 1 9%
Unknown 2 18%