Docs

In this section

• Dictionary & Vocabulary Management
  Comprehensive vocabulary extraction and management system. Learn how to extract vocabulary from videos, create professional vocabulary pages with Urdu translations, and manage your learning content.
  • Project Overview
    Dictionary vocabulary management system - features, architecture, and capabilities.
  • Getting Started
    Setup instructions, prerequisites, and quick start guide for the Dictionary system.
    • Setup Guide
      Complete setup instructions for the Dictionary system. Environment configuration, dependencies, and troubleshooting.
    • Getting Started Checklist
      Step-by-step verification checklist for setting up the Dictionary system. Prerequisites, setup steps, and success metrics.
  • Workflows
    Complete workflow processes and guides for vocabulary extraction and management.
    • Step-by-Step Vocabulary Extraction Guide
      Complete 7-step walkthrough for extracting vocabulary from YouTube videos. From transcript extraction through deployment, with detailed explanations and troubleshooting.
    • Quick Reference
      Quick command reference for running vocabulary extraction. Aliases environment setup, and example commands.
    • Copilot Prompt - Extract Vocabulary from Transcript
      Ready-to-use prompt for extracting vocabulary using GitHub Copilot
  • Guides
    Detailed how-to guides covering all aspects of vocabulary extraction and management.
    • Copilot Prompt Template

      I need help extracting vocabulary from a video transcript for my English learning dictionary.

      Task: Analyze this video transcript about [topic] and extract 25 challenging English words suitable for an advanced ESL learner (first language: Urdu).

      Selection Criteria:

      • Difficulty level: 7-9 out of 10
      • Important for understanding economics/politics/social systems
      • Not common everyday words
      • Academic, intellectual, or domain-specific terms
      • Useful for understanding the [topic] in depth

      For each word, provide:

      1. word: the English word (lowercase)
      2. part_of_speech: (noun, verb, adjective, adverb, phrase, technical-term, etc.)
      3. urdu_meaning: Urdu translation in Urdu script
      4. example_en: A clear example sentence from the transcript or similar context
      5. example_ur: Natural, contextual Urdu translation of the example
      6. additional_example_ur: (optional) Another Urdu example showing different usage

      Output Format: Valid YAML array only, no markdown code fences, no explanations.

    • Dictionary System - Quick Reference
      Quick commands and patterns for dictionary vocabulary management
    • Video-to-Vocabulary Workflow - How To Guide
      Step-by-step guide for extracting vocabulary from videos using AI
  • Reference
    Complete technical reference, architecture documentation, and implementation details.
    • Dictionary System - Complete Guide
      Instructions for managing vocabulary notes in the dictionary system
    • Dictionary Workflow Improvements - Implementation Summary
      Summary of improvements made and next steps
    • Dictionary Workflow Improvements - Video to Vocabulary Automation
      Proposed improvements for extracting vocabulary from videos and automating dictionary entry creation