Improve lexical accuracy, structural consistency, and data quality

[libernys]

This PR performs a large-scale cleanup and correction of entries in the morphgnt Strong’s Greek dictionary XML dataset.

The changes focus on improving lexical accuracy, structural consistency, and data quality, particularly in areas that are critical for downstream consumers (parsers, lexicons, Bible software, etc.).

Key Changes

• Corrected definition errors
  • Fixed inaccurate or misleading glosses and definitions across multiple entries.
  • Improved semantic consistency where definitions diverged from standard lexicographical usage.
• Derivation and etymology fixes
  • Adjusted incorrect <strongs_derivation> references.
  • Ensured better alignment between derivation and actual lexical roots.
• Structural normalization
  • Cleaned and standardized XML structure within entries.
  • Improved separation between derivation, definition, and related fields (where previously mixed or ambiguous).
• Typographical and encoding corrections
  • Fixed spelling issues, malformed text, and minor encoding inconsistencies.
  • Harmonized transliteration and Greek text where inconsistencies were found.
• Bulk consistency improvements
  • Applied systematic corrections across a large number of entries to ensure uniform formatting and interpretation.

Motivation

The Strong’s dataset is widely reused in biblical studies tools and software. Even small inconsistencies can propagate into:

• incorrect lexical analysis
• misleading theological or linguistic interpretation
• parsing or transformation errors in downstream systems

This PR aims to increase the reliability and scholarly correctness of the dataset.