Sloka

Sloka Analysis

Analyze Sanskrit verses with scholarly rigor, providing layered understanding from literal meaning to literary significance.

Analysis Workflow (Structural First)

To ensure accuracy, always perform word-level breakdown before syntactical reordering.

1. Padachheda (Splitting): Identify every individual word (pada). If sandhi is present, split it using sandhi.py or web search.
2. Morphological Analysis: Identify the gender, case (vibhakti), and number for each noun, and the tense, person, and number for each verb.
3. Anvaya (Reordering): Group adjectives with their nouns and find the verb. Arrange them into a logical prose sequence (Subject -> Object -> Verb).
4. Translation & Interpretation: Only after the structure is clear, provide the English meaning.

Researcher's Mindset in Sloka Analysis

• Transparency: If you are unsure of a specific word's relationship in the Anvaya, mention it (e.g., "The word X could grammatically qualify either Y or Z; I have chosen Y because...").
• Verification: Use chandas.py to verify the meter before stating it. If the meter is irregular or unknown, describe the syllable count and patterns rather than guessing a name.
• Provenance: Cite commentaries (Mallinatha, etc.) if your interpretation follows a specific traditional line.

Analysis Components

For each sloka, provide these sections in order:

1. Mula Sloka (Original Verse)

Display the verse in Devanagari with proper punctuation and diacritical marks.

2. Padachheda (Word-by-Word Breakdown)

Break each word and analyze before reordering. This is the foundation of the analysis.

Note: For complex compounds (Samasa), break them down into their component words.

3. Anvaya (Syntactical Prose Order)

Rearrange the analyzed words into natural prose order showing grammatical relationships:

• Add implied subjects/objects in parentheses: (अहम्), (त्वम्)
• Show case relationships explicitly
• Convert poetic inversions to logical sequence

Example:

Verse: वागर्थाविव संपृक्तौ वागर्थप्रतिपत्तये
Anvaya: (अहम्) वागर्थप्रतिपत्तये वाक् अर्थौ इव संपृक्तौ (पार्वतीपरमेश्वरौ वन्दे)

4. Chandas (Meter Analysis)

Identify and analyze:

• Meter name: e.g., अनुष्टुप्, वसन्ततिलका, शार्दूलविक्रीडितम्
• Characteristics: syllables per pada, laghu/guru pattern
• Syllabic breakdown: Mark ल (laghu) and ग (guru) for each pada

5. Alankara (Figures of Speech)

Identify literary devices:

• Upama (simile): indicated by इव, यथा, etc.
• Rupaka (metaphor)
• Anuprasa (alliteration)
• Yamaka (repetition with different meanings)

6. Commentary (Tika)

Reference authentic commentaries:

• Mallinatha (मल्लिनाथ): Sanjivini on Raghuvamsha, Kumarasambhava, Meghaduta
• Shankaracharya: Bhagavad Gita Bhashya
• Vallabhacharya: Subodhini on Bhagavata
• Sridhara Swami: Bhagavata Purana commentary

Summarize key interpretive insights from traditional commentators.

7. Saransha (Summary)

Provide:

• Literal translation in English
• Interpretive meaning with cultural/philosophical context
• Significance within the larger text

Scripts

Utility scripts in shared/scripts/:

cd shared/scripts
uv sync                    # Setup
uv run python chandas.py "<verse>"                    # Meter analysis
uv run python transliterate.py "संस्कृतम्" devanagari iast  # → saṃskṛtam
uv run python sandhi.py --split "<compound>"          # Sandhi splitting

References

For detailed information, see:

• references/chandas.md - Complete meter patterns and gana system
• references/alankaras.md - Figures of speech with examples
• references/commentators.md - Traditional commentators by text

Online sources for authentic commentaries and meter identification:

• sanskritsahitya.org - Sloka database with Mallinatha commentary
• gitasupersite.iitk.ac.in - Bhagavad Gita with multiple commentaries
• github.com/hrishikeshrt/chanda - Deep meter analysis and pattern matching
• wisdomlib.org - Encyclopedia of Sanskrit texts

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