↓ Skip to main content

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 On the Structure of Pāṇini’s System
  3. Altmetric Badge
    Chapter 2 On the Architecture of Pāṇini’s Grammar
  4. Altmetric Badge
    Chapter 3 Modeling Pāṇinian Grammar
  5. Altmetric Badge
    Chapter 4 Simulating the Pāṇinian System of Sanskrit Grammar
  6. Altmetric Badge
    Chapter 5 Computer Simulation of Aṣṭ ādhyā yī : Some Insights
  7. Altmetric Badge
    Chapter 6 Formal Structure of Sanskrit Text: Requirements Analysis for a Mechanical Sanskrit Processor
  8. Altmetric Badge
    Chapter 7 Analysis of Sanskrit Text: Parsing and Semantic Relations
  9. Altmetric Badge
    Chapter 8 Inflectional Morphology Analyzer for Sanskrit
  10. Altmetric Badge
    Chapter 9 Semantic Processing in Pāṇini’s Kāraka System
  11. Altmetric Badge
    Chapter 10 From Pāṇinian Sandhi to Finite State Calculus
  12. Altmetric Badge
    Chapter 11 SanskritTagger : A Stochastic Lexical and POS Tagger for Sanskrit
  13. Altmetric Badge
    Chapter 12 A Glimpse into the Apadam -Constraint in the Tradition of Sanskrit Grammar
  14. Altmetric Badge
    Chapter 13 A Study towards Design of an English to Sanskrit Machine Translation System
  15. Altmetric Badge
    Chapter 14 Phonological Overgeneration in Paninian System
  16. Altmetric Badge
    Chapter 15 Issues in Combinatorial Analysis of Vedic Verbal and Nominal Forms
  17. Altmetric Badge
    Chapter 16 Verbal Roots in the Sanskrit Wordnet
  18. Altmetric Badge
    Chapter 17 An Effort to Develop a Tagged Lexical Resource for Sanskrit
  19. Altmetric Badge
    Chapter 18 Towards a Scholarly Editing System for the Next Decades
  20. Altmetric Badge
    Chapter 19 Critical Edition of Sanskrit Texts
  21. Altmetric Badge
    Chapter 20 Sanskrit Computational Linguistics
  22. Altmetric Badge
    Chapter 21 Applying the OCRopus OCR System to Scholarly Sanskrit Literature
  23. Altmetric Badge
    Chapter 22 Keyword Spotting Techniques for Sanskrit Documents
  24. Altmetric Badge
    Chapter 23 The Phonemic Approach for Sanskrit Text
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

3 tweeters
3 Wikipedia pages


1 Dimensions

Readers on

6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Sanskrit Computational Linguistics
Published by
ADS, February 2009
DOI 10.1007/978-3-642-00155-0
978-3-64-200154-3, 978-3-64-200155-0

Huet, Gérard, Kulkarni, Amba, Scharf, Peter

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 50%
Unspecified 2 33%
Student > Postgraduate 1 17%
Readers by discipline Count As %
Arts and Humanities 3 50%
Unspecified 1 17%
Linguistics 1 17%
Computer Science 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2020.
All research outputs
of 15,749,088 outputs
Outputs from ADS
of 29,692 outputs
Outputs of similar age
of 280,919 outputs
Outputs of similar age from ADS
of 251 outputs
Altmetric has tracked 15,749,088 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,692 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 280,919 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 70% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.