You are a highly experienced educational content creator  for Indian competitive exams such as Railway (Typist - Non_Technical_Posts) under the subject of General English or Hindi (as opted). The topic is **English Grammar**.. Your task is to generate a detailed **bilingual explanation (English + Hindi)** for a **mnemonic anagram letter** for topic English Grammar, using the following inputs.

    Generate a Markdown output using this structure:

    ---

    🧠 **Anagram (Short)**: SENTENCE  
    📖 **Expanded (English)**: Structure, Errors, Negation, Tenses, Enrichment, Noun, Conjunction, Error Correction  
    📖 **Expanded (Hindi)**: संरचना, त्रुटियाँ, नकारात्मकता, काल, समृद्धि, संज्ञा, संयोजक, त्रुटि सुधार

    ---

    ### 🔠 Letter: E / त्र — *Error Correction / त्रुटि सुधार*

    #### 📚 Concept:
    - EN: Error Correction  
    - HI: त्रुटि सुधार

    #### 🧠 Type:
    - EN: Error Correction  
    - HI: त्रुटि सुधार

    #### 📖 Description:
    - EN: Correcting factual, grammatical, and contextual errors in given sentence passages.  
    - HI: दी गई वाक्यांशों में तथ्यात्मक, व्याकरणिक और संदर्भ त्रुटियों को सुधारना।

    #### 📌 Explanation:
    - EN: Reviewing sentences to fix factual, grammatical, and contextual errors sharpens writing and communication.  
    - HI: वाक्यों की पुनः जाँच कर तथ्यात्मक, व्याकरणिक व संदर्भ त्रुटि सुधार संप्रेषण को बेहतर बनाता है।

    #### ➗ Formula or Relation:
    - EN: **Correct Sentence = Original Sentence - Errors + Appropriate Corrections**  
    - HI: **सही वाक्य = मूल वाक्य - त्रुटियाँ + उचित सुधार**

    #### 💡 Example Questions:
    **ENGLISH:**
    ["Correct all grammatical and factual errors in the passage: 'The typist have completed all the documents but he did not sent them to the manager yet. They was expecting its submission today only.'", "Edit the sentence 'Everyone have to submit their reports by 5 pm although some hasn't finished it yet.' Focus on subject-verb agreement and tense correction.", "Given the sentence 'When the team arrives, the supervisor were briefing them, but they was not listening carefully,' identify and correct all errors maintaining original meaning."]

    **HINDI:**
    ["त्रुटियों को सुधारें: 'टाइपिस्ट ने सभी दस्तावेज पूरे कर लिए हैं लेकिन उन्होंने अभी तक उन्हें प्रबंधक को नहीं भेजा है। वे आज ही जमा करने की उम्मीद कर रहे थे।'", "वाक्य 'सभी को अपनी रिपोर्ट शाम 5 बजे जमा करनी होगी हालांकि कुछ ने अभी तक इसे पूरा नहीं किया है।' में कर्ता-क्रिया अनुरूपता और काल सुधार करें।", "वाक्य 'जब टीम पहुँची, तो पर्यवेक्षक उन्हें सूचित कर रहा था, पर वे ध्यान नहीं दे रहे थे।' में सभी त्रुटियों को पहचानें और सुधारें।"]

    ---
    object should have:
        - "mnemonic_letter_english", "mnemonic_letter_hindi"
        - "type_english", "type_hindi"
        - "description_english", "description_hindi"
        - "difficulty_level_english", "difficulty_level_hindi"
        - "exam_frequency_english", "exam_frequency_hindi"
        - "time_to_solve_english", "time_to_solve_hindi"
        - "clue_words_english": list of 4-5 identifying keywords/phrases
        - "clue_words_hindi": same in Hindi
        - "what_to_use_english", "what_to_use_hindi"
        - "formula_english", "formula_hindi"
        - "alternative_formulas_english", "alternative_formulas_hindi": list of 2-3 alternative formulas
        - "algorithm_english", "algorithm_hindi": step-by-step string list
        - "quick_method_english", "quick_method_hindi"

        - "example": answer all  the question give as Example Questions.
 
          - Require multi-step calculation or reasoning.
          - NOT be short phrases, fragments, or simplified school-level word problems.each Example Questions should be including:
            - "example_no"
            - "question_english", "question_hindi"
            - "solution_steps_english": step list
            - "solution_steps_hindi": step list
            - "answer_english", "answer_hindi"
            - "verification_english", "verification_hindi"

        - "variations_english", "variations_hindi": list of variation types
        - "related_concepts_english", "related_concepts_hindi": related subtopics or concepts
        - "common_mistakes_english", "common_mistakes_hindi": list of 10 traps or errors
        - "tip_english", "tip_hindi": short-cut or important tip
        - "prerequisite_knowledge_english", "prerequisite_knowledge_hindi": list of 3 concepts
        - "practice_problems_english", "practice_problems_hindi": list of 3  full-length and detailed practical, compact competitive-level example questions** per type.  
      ⚠️ NOTE : Ensure answer all the question of Example Questions in the example key

        Use simple, learner-friendly language and return only the JSON object in your response, formatted with proper indentation and structure.
        Use clear language suitable for aptitude learners and format the JSON cleanly

### 🔁 output JSon should be

```json
            { 
              "mnemonic_letter_english": "",
              "mnemonic_letter_hindi": "",
              "type_english": "",
              "type_hindi": "",
              "description_english": "",
              "description_hindi": "",
              "difficulty_level_english": "",
              "difficulty_level_hindi": "",
              "exam_frequency_english": "",
              "exam_frequency_hindi": "",
              "time_to_solve_english": "",
              "time_to_solve_hindi": "",
              "clue_words_english": [
                  "",
                  "",
                  "",
                  "",
                  ""
              ],
              "clue_words_hindi": [
                  "",
                  "",
                  "",
                  "",
                  ""
              ],
              "what_to_use_english": "",
              "what_to_use_hindi": "",
              "formula_english": "",
              "formula_hindi": "",
              "alternative_formulas_english": [
                  "",
                  ""
              ],
              "alternative_formulas_hindi": [
                  "",
                  ""
              ],
              "algorithm_english": [
                  "",
                  "",
                  "",
                  ""
              ],
              "algorithm_hindi": [
                  "",
                  "",
                  "",
                  ""
              ],
              "quick_method_english": "",
              "quick_method_hindi": "",
              "example": [
                  {
                  "example_no":"",
                  "question_english": "",
                  "question_hindi": "",
                  "solution_steps_english": [
                      "",
                      "",
                      "",
                      "",
                      ""
                  ],
                  "solution_steps_hindi": [
                      "",
                      "",
                      "",
                      "",
                      ""
                  ],
                  "answer_english": "",
                  "answer_hindi": "",
                  "verification_english": "",
                  "verification_hindi": ""
              }..,],
              "variations_english": [
                  "",
                  "",
                  ""
              ],
              "variations_hindi": [
                  "",
                  "",
                  ""
              ],
              "related_concepts_english": [
                  "",
                  "",
                  ""
              ],
              "related_concepts_hindi": [
                  "",
                  "",
                  ""
              ],
              "common_mistakes_english": [
                  "",
                  ""
              ],
              "common_mistakes_hindi": [
                  "",
                  ""
              ],
              "tip_english": "",
              "tip_hindi": "",
              "prerequisite_knowledge_english": [
                  "",
                  "",
                  ""
              ],
              "prerequisite_knowledge_hindi": [
                  "",
                  "",
                  ""
              ],
              "practice_problems_english": [
                  "",
                  ""
              ],
              "practice_problems_hindi": [
                  "",
                  ""
              ]
          }