擅长:python、mysql、java
<p>您可以尝试以下方法:</p>
<pre><code>import numpy
length = len(nltk.corpus.semcor.sents())-50
for i in range(n_times):
start = np.random.randint(0, length)
corpus_sentences = [get_sentence_from_semcor(i) for i in range(start,(start+50))]
</code></pre>
<p>代码将重复n_次,每次返回一组50个句子。”“开始”是范围(0,长度)内的随机整数。(假设您知道语料库的总长度)</p>