Erratum to: Query-Based Extractive Text Summarization for Sanskrit

  • Siddhi Barve
  • Shaba Desai
  • Razia Sardinha
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 404)

Erratum to: S. Das et al. (eds.), Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015, Advances in Intelligent Systems and Computing 404, DOI  10.1007/978-81-322-2695-6_47

Erratum DOI: 10.1007/978-81-322-2695-6_62

In original version of this chapter Tables 1–4 consist of scrambled texts that have been corrected now.

Table 1

Raw Sanskrit document

  1. 2.

    The preprocessing steps are performed on the selected document. The steps include sentence length feature, tokenization, stop word removal, morphological analysis, and sandhi and compound resolution.

    Below is an illustration of morphological analysis and sandhi/compound resolution for the document “कदली.”

Table 2

Summary generated by average tf.isf approach

Table 3

Summary generated by graph-based approach

Table 4

Summary generated by VSM approach

Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of Information Technology, Padre Conceicao College of EngineeringGoa UniversityGoaIndia

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