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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 Sanskrit Computational Linguistics
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    Chapter 2 On the Generalizability of Pāṇini’s Pratyāhāra-Technique to Other Languages
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    Chapter 3 Building a Prototype Text to Speech for Sanskrit
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    Chapter 4 Rule-Blocking and Forward-Looking Conditions in the Computational Modelling of Pāṇinian Derivation
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    Chapter 5 Sanskrit Compound Processor
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    Chapter 6 Designing a Constraint Based Parser for Sanskrit
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    Chapter 7 Generative Graph Grammar of Neo-Vaiśeṣika Formal Ontology (NVFO)
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    Chapter 8 Headedness and Modification in Nyāya Morpho-Syntactic Analysis: Towards a Bracket-Parsing Model
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    Chapter 9 Citation Matching in Sanskrit Corpora Using Local Alignment
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    Chapter 10 RDBMS Based Lexical Resource for Indian Heritage: The Case of Mahābhārata
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    Chapter 11 Evaluating Tagsets for Sanskrit
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    Chapter 12 Performance of a Lexical and POS Tagger for Sanskrit
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    Chapter 13 The Knowledge Structure in Amarakośa
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    Chapter 14 Gloss in Sanskrit Wordnet
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    Chapter 15 Vibhakti Divergence between Sanskrit and Hindi
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    Chapter 16 Anaphora Resolution Algorithm for Sanskrit
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    Chapter 17 Linguistic Investigations into Ellipsis in Classical Sanskrit
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    Chapter 18 Asiddhatva Principle in Computational Model of Aṣṭādhyāyī
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    Chapter 19 Modelling Aṣṭādhyāyī: An Approach Based on the Methodology of Ancillary Disciplines (Vedāṅga)
Attention for Chapter 12: Performance of a Lexical and POS Tagger for Sanskrit
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Chapter title
Performance of a Lexical and POS Tagger for Sanskrit
Chapter number 12
Book title
Sanskrit Computational Linguistics
Published in
ADS, January 2010
DOI 10.1007/978-3-642-17528-2_12
Book ISBNs
978-3-64-217527-5, 978-3-64-217528-2
Authors

Oliver Hellwig

Editors

Girish Nath Jha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Unknown 1 33%
Readers by discipline Count As %
Arts and Humanities 1 33%
Linguistics 1 33%
Unknown 1 33%