<s>Human: 给定一篇文章，要求从中挑选出出现最多的单词。
</s><s>Assistant: 首先，需要将文章中的单词进行分离并统计出现次数。可以使用Python编写代码实现：

```python
# 读入文章，将所有字符转换为小写
text = open('article.txt').read().lower()

# 去除标点符号
punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
for char in text:
    if char in punctuations:
        text = text.replace(char, ' ')

# 将字符串分割为单词列表
words = text.split()

# 统计出现次数，使用字典存储
word_count = {}
for word in words:
    if word in word_count:
        word_count[word] += 1
    else:
        word_count[word] = 1

# 输出出现次数最多的单词
max_count = 0
max_word = ''
for word, count in word_count.items():
    if count > max_count:
        max_count = count
        max_word = word

print(f'The most frequent word is "{max_word}" appearing {max_count} times.')
```

上述代码中，首先读入文章并将所有字符转换为小写，然后去除标点符号。接着使用`split`方法将字符串分割为单词列表，然后遍历列表统计单词出现次数。最后再遍历字典找出出现次数最多的单词。

对于较大的文章，可以使用`collections`模块中的`Counter`类进行单词计数，可以省去手动编写统计方法的步骤。例如：

```python
from collections import Counter

text = open('article.txt').read().lower()
words = text.split()

word_count = Counter(words)

max_count = 0
max_word = ''
for word, count in word_count.items():
    if count > max_count:
        max_count = count
        max_word = word

print(f'The most frequent word is "{max_word}" appearing {max_count} times.')
```
</s>