DMP 25 week 04 blog by Aman Chadha

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+---
+title: "DMP '25 Week 04 Update by Aman Chadha"
+excerpt: "Completed context generation for all UI strings and submitted Turkish translations using DeepL with RAG-generated context"
+category: "DEVELOPER NEWS"
+date: "2025-06-30"
+slug: "2025-06-30-dmp-25-aman-chadha-week04"
+author: "@/constants/MarkdownFiles/authors/aman-chadha.md"
+tags: "dmp25,sugarlabs,week04,aman-chadha"
+image: "assets/Images/c4gt_DMP.png"
+---
+
+<!-- markdownlint-disable -->
+
+# Week 04 Progress Report by Aman Chadha
+
+**Project:** [JS Internationalization with AI Translation Support](https://github.com/sugarlabs/musicblocks/pull/4459)  
+**Mentors:** [Walter Bender](https://github.com/walterbender), [Devin Ulibarri](https://github.com/devinulibarri)  
+**Reporting Period:** 2025-06-24 – 2025-06-30  
+
+---
+
+## Goals for This Week
+
+- Complete RAG-based context generation for **all UI strings** in the `.po` file.
+- Translate the Turkish `.po` file using DeepL with generated context.
+- Share Turkish translation with mentors for review and validation of context effectiveness.
+
+---
+
+## This Week’s Achievements
+
+1. **Full Context Generation Completed**  
+   - Successfully generated context for all 1,536 active `msgid` entries using the RAG (Retrieval-Augmented Generation) model.
+   - Ensured each UI string now has an associated contextual description to guide translators.
+
+2. **Turkish Translation via DeepL with Context**  
+   - Used the DeepL API to translate the Turkish `.po` file, injecting the RAG-generated context for each `msgid`.
+   - This serves as a real-world test to evaluate how well contextual guidance improves translation accuracy and usability.
+   - Currently awaiting feedback on the quality of Turkish translations to assess the effectiveness of the context-driven approach.
+
+---
+
+## Challenges & How I Addressed Them
+
+- **Challenge:** Integrating RAG-generated context into `.po` translation pipeline.  
+  **Solution:** Adapted the `.po` processing script to pair each `msgid` with its context before sending it to DeepL, ensuring translators benefit from semantic clarity.
+
+- **Challenge:** Validating quality of translations in a language I do not speak.  
+  **Solution:** Coordinated with mentors to review Turkish output and identify whether contextual enrichment improved translation fidelity.
+
+---
+
+## Key Learnings
+
+- Contextual guidance significantly strengthens AI-driven translation quality, especially for UI-specific phrases.
+- Systematic pairing of context with each string allows scalable improvements across languages.
+- Human review remains crucial to validate AI-generated translations and refine context generation methods.
+
+---
+
+## Next Week’s Roadmap
+
+- Collect and analyze mentor feedback on the Turkish `.po` file.
+- Fine-tune the RAG context generation logic based on observed shortcomings, if any.
+- Generalize the context-injection workflow for use with other languages (e.g., Spanish, French).
+- Begin documenting the context generation + translation pipeline for future contributors.
+
+---
+
+## Resources & References
+
+- **Music Blocks Repository:** [github.com/sugarlabs/musicblocks](https://github.com/sugarlabs/musicblocks)
+- **DeepL Translator API:** [deepl.com/docs-api](https://www.deepl.com/docs-api)
+- **GitHub Actions Docs:** [docs.github.com/actions](https://docs.github.com/actions)
+- **RAG Concepts:** [arxiv.org/abs/2005.11401](https://arxiv.org/abs/2005.11401)
+
+---
+
+## Acknowledgments
+
+Thanks to mentors Walter Bender and Devin Ulibarri for their feedback, review assistance, and continued support in improving translation workflows.
+
+---