def transform2gat2(result: dict) -> dict:
    """
    Transforms the 'result' dictionary by inserting pause dictionaries into the words list
    where the pause duration between words falls within specified ranges.

    Args:
        result (dict): The original transcription result containing words with timing information.

    Returns:
        dict: The transformed result with pauses inserted.
    """
    # Iterate over each language in transcription
    for _, transcription in result.get('transcriptions').items():
        chunks = transcription.get('chunks')
        
        # Iterate over each chunk
        for chunk in chunks:
            words = chunk.get('words')
            # text = chunk.get('text')
            
            if not words:
                continue  # Skip if there are no words in the chunk
            
            new_words = []
            for i in range(len(words) - 1):
                new_text = ''
                
                current_word = words[i]
                next_word = words[i + 1]
                new_words.append(current_word)
                
                # Calculate the pause duration
                pause_duration = next_word['start'] - current_word['end']
                
                # Skip if pause_duration is non-positive
                if pause_duration <= 0:
                    continue
                
                # Determine the type of pause based on duration
                if 0.2 <= pause_duration < 0.5:
                    pause_marker = "(-)"
                elif 0.5 <= pause_duration < 0.8:
                    pause_marker = "(--)"
                elif 0.8 <= pause_duration < 1:
                    pause_marker = "(---)"
                elif pause_duration >= 1:
                    pause_marker = f"({pause_duration:.2f})"
                else:
                    continue
                
                # Create the pause dictionary
                pause_dict = {
                    "word": pause_marker,
                    "start": current_word.get("end"),
                    "end": next_word.get("start"),
                    "score": 1,
                    "speaker": current_word.get("speaker"),
                }
                new_words.append(pause_dict)
                new_text += f"{pause_dict['word']} "
            
            # Append the last word of the chunk
            if words:
                new_words.append(words[-1])
            
            print(new_words)
            
            # Update the words list with the new_words
            chunk['words'] = new_words
            chunk['text'] = new_text.strip()
    
    return result
