---
ticket_id: "TEXTIQ-32"
jira_url: "https://insight.fsoft.com.vn/jiradc/browse/TEXTIQ-32"
current_phase: "complete"
page_id: ""
confluence_url: "Skipped"
parent_page_id: ""
micro_context:
  last_file: "docs/specs/tech-spec-dynamic-domain-term-dictionary.story.md"
  last_error: "Jira API rate limit - manual status update required"
  notes: "Workflow complete - Confluence publishing skipped by user"
stepsCompleted: ["step-01-init", "step-02-implement", "step-03-testing", "step-04-finalize"]
lastStep: "step-04-finalize"
lastContinued: "2026-01-20"
---

# Implementation Notes: Dynamic Domain Term Dictionary with Multilingual Support

## Jira Ticket
- **ID:** TEXTIQ-32
- **URL:** https://insight.fsoft.com.vn/jiradc/browse/TEXTIQ-32

## Context
Auto-extract and translate domain terms during document processing, storing them persistently in PostgreSQL with Japanese/English/Vietnamese translations. Integration with existing DomainTermExtractor and Airflow pipeline.

### 2026-01-20 - Workflow Initialization
- Created Jira ticket TEXTIQ-32 (assigned to MinhNL11)
- Initialized story tracking file
- Committed workflow setup and pushed to feat/semantic-chunking branch
- Ready for implementation phase

### Testing Notes - 2026-01-20
- **Test:** Implementation verification completed
- **Result:** PASS - All functionality working as expected
- **Files:** Domain dictionary implementation verified

## Documentation Draft

### What Was Implemented
- Dynamic Domain Term Dictionary with multilingual support (Japanese, English, Vietnamese)
- Auto-extraction and translation of domain terms during document processing
- PostgreSQL-backed persistent storage
- Integration with existing DomainTermExtractor and Airflow pipeline

### Key Changes
- New PostgreSQL table: `domain_term_dictionary`
- New services: `DomainDictionaryService`, `TranslationService`
- Updated `DomainTermExtractor` with `persist_new_terms()` method
- Modified Airflow `extract_domain_terms_task` for dictionary integration

### Technical Details
- LLM-powered translation using Azure OpenAI GPT-4o
- Batch deduplication for O(1) lookup performance
- Graceful error handling with retry logic
- Language detection via Unicode range analysis

### Testing Verification
- All acceptance criteria met
- Implementation tested and verified working

### 2026-01-20 - Workflow Finalization
- Confluence publication skipped by user
- Jira status update attempted (rate limited - requires manual update to "Release it")
- Workflow completed successfully

---