读取附件Who Moved My Cheese.txt中的内容，要求拆分为中英两个文件，文件名为词频数量最多的词。

为了读取文本文件"Who Moved My Cheese.txt"的内容，并将其拆分成英文和中文两个文件，首先你需要打开这个文件并提取其中的文字。这通常通过编程语言如Python完成，可以使用内置的`open()`函数以及`read()`方法。接下来，你可以使用正则表达式或其他方法来识别文本中的英文和中文部分。

下面是一个简单的Python示例：

import re
from collections import Counter

# 打开并读取文件
with open('Who Moved My Cheese.txt', 'r', encoding='utf-8') as file:
    text = file.read()

# 分割英文和中文
def split_text(text):
    english_words = re.findall(r'\b[a-zA-Z]+\b', text)
    chinese_chars = re.findall(r'[\u4e00-\u9fa5]+', text)
    return english_words, chinese_chars

english_words, chinese_chars = split_text(text)

# 计算词频
eng_freq = Counter(english_words)
chi_freq = Counter(chinese_chars)

# 获取词频最高的词
most_common_english_word = eng_freq.most_common(1)[0][0]
most_common_chinese_char = chi_freq.most_common(1)[0][0]

# 将结果分别写入文件
with open('most_common_english.txt', 'w', encoding='utf-8') as eng_file, \
     open('most_common_chinese.txt', 'w', encoding='utf-8') as chi_file:

    eng_file.write(f'The most common English word is: {most_common_english_word}\n')
    chi_file.write(f'The most common Chinese character is: {most_common_chinese_char}\n')