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Rule based operations in Sanskrit

Chapter 05 - Linguistics: Rule-Based Operations

Introduction

  • Examine another aspect of Panini's computational elements.

Rule-Based Processing

  • Sanskrit language uses rule-based processing.
  • Panini's system applies grammatical conditions to derive words (rule-based engine).

Structure of Rule Application

  • A situation is presented.
  • Sutras provide the necessary and sufficient conditions to address the situation.
  • Basic logic in deriving any word in Sanskrit.
  • Sutras resemble the structure: If this condition is satisfied, then perform this operation.
  • We saw "iko yan-aci" in mnemonics.

Computer Program Analogy

  • The example in mnemonics is like: if this condition is satisfied, do this.
  • All sutras are similar to computer instruction programs.

Derivational Grammar

  • Sanskrit grammar is entirely derivational.
  • Every word can be derived from the start.
  • Every conceivable word can be derived using a set of rules in a strict algorithmic fashion.

The Process: Rule Search and Application

  • Start from a Base (Verbal Root or Nominal Root).
  • The logic can search if any of the 3983 rules can be applied.
  • The root goes through some transformation.
  • At every stage, inquire if any of the 3983 rules qualify to be applied.
  • If a rule qualifies, apply it, and move one step further in the transformation.
  • The procedure stops when no more rules can be applied, resulting in a valid final word.

Amenability to Computer Processing

  • This rule-based recursive structure is highly amenable to computer-based processing.
  • Similar to how a computer takes instructions and uses IF and THEN conditions to derive results.

Flowchart Representation

  • Start

  • Read Inputs:

    • Let i = 0 (initial rule counter).
    • i = i + 1 (take the first rule).
  • First, check whether end of rules is reached?

    • If No, read the Sutra for the ith rule .
    • Is Sutra applicable?
      • If Yes, Perform operation.
      • Apply Transformation; reset counter to 0.
      • If No, increment i = i + 1; go to the next sutra.
  • End of 3983 Rules?

  • To find the final result by quitting and by print with logic.

  • The end result being a valid word.

  • (Efficient algorithms avoid scanning all 3983 rules every time.)

Example: Deriving Rama (By Rama)

  • Take the noun root Rama and derive the singular form of the third case (which means "by Rama").
  • Step 1: Noun root Rama is taken.
  • Scanning the set of rules, in 4th chapter, 1st section, 2nd rule of Ashtadhyayi apply to get the first applicable rule.
  • 4.1.2 supplies a suffix called “ta” for generating the third case.
  • Therefore, we have Rama + ta.

Applying Further Rules

  • Scan again and find the applicable rule.

  • 7th chapter, 1st section, 12th sutra becomes eligible.

  • That rule will be applied.

  • It provides conditions for replacing ta with something.

  • Applies in this case and replaces “ta” with ina, as the rule suggests.

  • Now, we have Rama + ina.

  • Scan the rules again.

  • 8th chapter, 4th section, 2nd rule becomes applicable.

  • This is actually guna sandhi.

  • Since a is "followed" by i, 6th chapter, 1st section, 87th apply and we find it will be

    • “a” + “i" will transform to "e" based a.
  • As per the rule, the vowel a > a + will transform to "e" per guna and if it's apply " it will become Rama +n.

  • Scan rules.

  • Chapter 8 -Section 4 -Rule 2 .

  • n will be n ""

    • Rama + n will become Rama + n.
    • And that's the stage you have now .
  • The rules will not be applicable ,so the procedure will stops !

  • 3rd case Rama is ""Ramena!""

  • What a charm to transform by "a applicable rule""

  • The transformations go until we find "a valid word"""

  • Moment a transformation happen you transform again through scanning of rules

  • This is the charm of Panini's Base Rule Operations!

  • If we remember the application the valid output will be derived.