There are many ways to generate a lot of nonsense text. Here are some common ways: ### Use specialized text generation tools 1. **Random text generator website** - For example, "RandomTextGenerator.com" and so on. After entering the website, you can usually set parameters such as the length of the text, the source of vocabulary (such as common English words, specific field vocabulary, etc.). Then click the Generate button to quickly get a piece of meaningless text. These texts may be composed of randomly arranged words or characters, such as: "Blymphs quoxes varguts. Zaxils neems wixils. Wamles fripels zexels." 2. **Language model tools** - **ChatGPT, etc.**: - You can make requests to ChatGPT, such as "Generate a long paragraph of meaningless text." It will generate content based on its trained language model. For example: “Vumblies flurried through the zynthic glades, their wimples glistening in the dappled light. The quibbles of the froombs echoed through the underbrush as they scurried about their mysterious business. Zoxies with their twinkling sprites danced around the gnarled trunks of the old oaks, creating a surreal spectacle that defied all ordinary understanding.” - **Some open source language models**: - Such as open source models based on the Transformer architecture (such as some models on Hugging Face), you can call these models through programming interfaces to generate text. You need to install related libraries (such as transformers library), and then write code. The sample code is as follows (taking Python and Hugging Face’s GPT-Neo model as an example): ```python from transformers import GPTNeoForCausalLM, AutoTokenizer model = GPTNeoForCausalLM.from_pretrained("EleutherAI/gpt-neo-1.3B") tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-1.3B") input_text = "Generate a long piece of nonsense text starting with" input_ids = tokenizer.encode(input_text, return_tensors='pt') output = model.generate(input_ids, max_length=500, num_return_sequences=1) generated_text = tokenizer.decode(output[0], skip_special_tokens=True) print(generated_text) ``` - Running the above code, the model will generate a piece of nonsense text, for example: “Generate a long piece of nonsense text starting with Blorps squiggled and splogged across the zorbled landscape. The glipglops glommed together in a jumbled mass, creating a sight that was both bewildering and oddly fascinating. Zimzangs with their zany zigzags zapped through the air, leaving trails of sparkles in their wake.” ### Write a simple program to generate it yourself 1. **Based on random combination of characters** - **Python code example**: ```python import random import string def generate_nonsense_text(length): all_characters = string.ascii_letters + string.digits + string.punctuation nonsense = ''.join(random.choice(all_characters) for i in range(length)) return nonsense text_length = 100 print(generate_nonsense_text(text_length)) ``` - : This code generates nonsense text of a specified length that is a random combination of letters, numbers, and punctuation marks, for example: “Q3w!eR#tY$uI%oP*aS(dF)gH^jK&lZ_xCvB<nM>.,/?`~1234567890-=[];':,./<>?`~!@#$%^&*()_+{}|:\"<>?” 2. **Random combination based on words (using local dictionary)** - **Python code example**: ```python import random def load_words_from_file(file_path): words = [] with open(file_path, 'r') as file: for line in file: word = line.strip() if word: words.append(word) return words def generate_nonsense_text_from_words(length, word_list): nonsense = '' for _ in range(length): word = random.choice(word_list) nonsense += word + " " return nonsense word_file_path = 'your_dictionary_file.txt' # Replace with the actual dictionary file path word_list = load_words_from_file(word_file_path) text_length = 20 # Number of words print(generate_nonsense_text_from_words(text_length, word_list)) ``` - This assumes you have a