In [1]: import nltk In [2]: tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer() In [3]: txt = """ This is one sentence. This is another sentence.""" In [4]: tokenizer.tokenize(txt) Out[4]: [' This is one sentence.', 'This is another sentence.'] 您还可以在使用前提供...
How can I tokenize a sentence with Python?Jonathan Mugan
这里使用python正则,快速实现一个,可以把文本分成若干个小句子。 代码如下,如果你想要实现自己个性化的分句,例如只考虑“。!”等的分句,可以调整正则项,“|”代表或的意思。 def sent_tokenize(x): sents_temp = re.split('(:|:|,|,|。|!|\!|\.|?|\?)', x) sents = [] for i in range(len(se...
Python Natural Language Processing上QQ阅读APP,阅读体验更流畅 领看书特权 Sentence tokenization In raw text data, data is in paragraph form. Now, if you want the sentences from the paragraph, then you need to tokenize at sentence level. Sentence tokenization is the process of identifying the ...
# 导入所需的库importnltkfromnltk.corpusimportstopwordsfromnltk.tokenizeimportword_tokenizefromnltk.stemimportWordNetLemmatizer# 下载必要的资源nltk.download('punkt')nltk.download('stopwords')nltk.download('wordnet')# 清洗文本defclean_text(text):# 分词tokens=word_tokenize(text.lower())# 去除停用词sto...
Python Code : fromnltk.tokenizeimportsent_tokenize,word_tokenize text="Joe waited for the train. The train was late. Mary and Samantha took the bus. I looked for Mary and Samantha at the bus station."print("\nOriginal string:")print(text)print("\nTokenize words sentence wise:")result=[...
text_sentences = nlp(text) for sentence in text_sentences.sents: …Run Code Online (Sandbox Code Playgroud) nlp tokenize sentence spacy Sat*_*h K 2021 06-23 10推荐指数 1解决办法 1万查看次数 Python 自动完成用户输入 我有一个团队名称列表。让我们说他们是 teamnames=["Blackpool","Blackb...
model_path) model = AutoModel.from_pretrained(model_path, trust_remote_code=True) # Tokenize ...
317 """-->318returnself._first_module().tokenize(texts) File ~/anaconda3/envs/BLIP/lib/python3.8/site-packages/sentence_transformers/models/CLIPModel.py:71,inCLIPModel.tokenize(self, texts)68iflen(images) ==0:69images = None --->71inputs =self.processor(text=texts_values, images=images...
import("fmt""github.com/neurosnap/sentences/english")funcmain() {text:="Hi there. Does this really work?"tokenizer,err:=english.NewSentenceTokenizer(nil)iferr!=nil{panic(err) }sentences:=tokenizer.Tokenize(text)for_,s:=rangesentences{fmt.Println(s.Text) } } ...