Created 6 GitHub issues to improve translation quality from current state (75-90%) to 95%+ for underperforming languages, per TRANSLATION_DOCUMENTATION_README.md analysis.

Issues Created

All assigned to copilot-swe-agent[bot] for implementation:

• 🇰🇷 Korean Translation Quality Improvement: 75% → 95%+ Completion #959 🇰🇷 Korean (75% → 95%): K-ISMS/PIPA terminology, SEO metadata, 96 files
• 🇯🇵 Japanese Translation Quality Improvement: 83.5% → 95%+ Completion #960 🇯🇵 Japanese (83.5% → 95%): Complete 46 "mostly translated" + 2 "partially translated" files, keigo review
• 🇪🇸 Spanish Translation Quality Improvement: 88% → 95%+ Completion #961 🇪🇸 Spanish (88% → 95%): Native polish for 45 files, GDPR/RGPD terminology
• 🇸🇦 Arabic Translation Quality Improvement: 85.2% → 95%+ Completion (RTL) #962 🇸🇦 Arabic (85.2% → 95%): Complete 12 skeleton files, RTL layout validation, SAMA/UAE IA
• 🇮🇱 Hebrew Translation Quality Improvement: 90% → 95%+ Completion (RTL) #963 🇮🇱 Hebrew (90% → 95%): Final polish, RTL validation, preserve 675 terminology replacements from Phase 4
• 🇳🇱 Dutch Translation Quality Improvement: 83.5% → 95%+ Completion #964 🇳🇱 Dutch (83.5% → 95%): Content completion, BIO/NIS2/AVG terminology

Issue Content Structure

Each issue includes:

• Current quality metrics from *-Translation-Status.md
• Detailed acceptance criteria (translation completeness, SEO metadata, terminology consistency, technical validation)
• Implementation guidance with priority files and validation bash commands
• SEO metadata templates with language-specific cybersecurity keywords
• References to translation guides (v3.1, v4.0, v6.0) and status documentation
• Effort estimates (26-51 hours per language) and budget projections

Key Focus Areas

• SEO Metadata: Complete titles, descriptions, keywords, OG tags, Schema.org inLanguage for all 96 files per language
• Terminology Standardization: Apply language-specific guides consistently across files
• RTL Layout (Arabic, Hebrew): Validate dir="rtl" and lang attributes, CSS layout, breadcrumb arrows
• Regional Compliance: K-ISMS/PIPA (Korean), SAMA/UAE IA (Arabic), BIO/NIS2 (Dutch)
• Content Completion: Skeleton files, partially translated pages, FAQ sections, breadcrumbs

Combined effort: 192-253 hours across 6 languages. Average quality gap to close: 10.8% per language.

Custom agent used: hack23-homepage-task-agent
Homepage product specialist creating GitHub issues for marketing website, optimizing UI/UX, content quality, and ensuring ISMS compliance through comprehensive analysis

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.