Dictionary

Summary of improvements made and next steps

Proposed improvements for extracting vocabulary from videos and automating dictionary entry creation

Step-by-step guide for extracting vocabulary from videos using AI

This document provides a concise overview of Python data structures, focusing on tuples, lists, dictionaries, and sets, and highlighting their properties operations, indexing, slicing, and manipulation techniques for data science applications.

Ready-to-use prompt for extracting vocabulary using GitHub Copilot

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: word: the English word (lowercase) part_of_speech: (noun, verb, adjective, adverb, phrase, technical-term, etc.) urdu_meaning: Urdu translation in Urdu script example_en: A clear example sentence from the transcript or similar context example_ur: Natural, contextual Urdu translation of the example additional_example_ur: (optional) Another Urdu example showing different usage Output Format: Valid YAML array only, no markdown code fences, no explanations.

Instructions for managing vocabulary notes in the dictionary system

Quick commands and patterns for dictionary vocabulary management