wiktionary-and-wikisource

Check Wikisource proofreading progress by retrieving statistics on pages without text, problematic pages, proofread pages, and validated pages, along with the overall completion percentage. This allows you to quickly assess quality levels and manage large text validation workflows.

Extract OCR text and parse Wiktionary entry structures by automating content retrieval with the MediaWiki Action API and Pywikibot. This enables efficient text extraction, translation table parsing, and pronunciation file handling for dictionary and library projects.

Yes, you need Pywikibot and MediaWiki API access to parse Wiktionary translation tables and etymologies. These dependencies provide the necessary programmatic interface for comprehensive data retrieval, manipulation, and Wikimedia Commons file handling required by the parsing process.

The best way to manage proofread page workflows is by automating quality assessment through API-driven text extraction and validation status checks. This approach streamlines the review of compiled works by systematically tracking proofreading progress and identifying problematic pages.

Yes, you can extract audio pronunciation files and lexemes from Wiktionary. The Skill automates the parsing of dictionary entry structures, allowing you to efficiently retrieve and manage pronunciation assets alongside translation tables and etymology data.

Incomplete Wikisource text extraction often occurs when OCR processing fails on problematic pages within the proofread page workflow. Use the Skill to identify pages without text or those marked as problematic, allowing you to target manual validation efforts and resolve quality issues.