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Sanskrit Computational Linguistics

Overview of attention for book
Cover of 'Sanskrit Computational Linguistics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Sanskrit Computational Linguistics
  3. Altmetric Badge
    Chapter 2 On the Generalizability of Pāṇini’s Pratyāhāra-Technique to Other Languages
  4. Altmetric Badge
    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)
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
1 X user
wikipedia
6 Wikipedia pages

Readers on

mendeley
27 Mendeley
citeulike
1 CiteULike
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Title
Sanskrit Computational Linguistics
Published by
ADS, January 2010
DOI 10.1007/978-3-642-17528-2
ISBNs
978-3-64-217527-5, 978-3-64-217528-2
Editors

Girish Nath Jha

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 7%
Student > Ph. D. Student 1 4%
Student > Bachelor 1 4%
Professor > Associate Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 21 78%
Readers by discipline Count As %
Computer Science 3 11%
Linguistics 2 7%
Mathematics 1 4%
Unknown 21 78%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2023.
All research outputs
#7,227,065
of 25,053,336 outputs
Outputs from ADS
#7,974
of 37,390 outputs
Outputs of similar age
#44,409
of 175,272 outputs
Outputs of similar age from ADS
#243
of 809 outputs
Altmetric has tracked 25,053,336 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 37,390 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 175,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 809 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.