如何避免NLTK的句子标记词在缩写词上出现分裂? [英] How to avoid NLTK's sentence tokenizer splitting on abbreviations?
问题描述
我目前正在使用NLTK进行语言处理,但是遇到了句子标记化的问题.
I'm currently using NLTK for language processing, but I have encountered a problem of sentence tokenizing.
这是问题所在: 假设我有一句话:图2显示了美国地图." 当我使用punkt标记生成器时,我的代码如下所示:
Here's the problem: Assume I have a sentence: "Fig. 2 shows a U.S.A. map." When I use punkt tokenizer, my code looks like this:
from nltk.tokenize.punkt import PunktSentenceTokenizer, PunktParameters
punkt_param = PunktParameters()
abbreviation = ['U.S.A', 'fig']
punkt_param.abbrev_types = set(abbreviation)
tokenizer = PunktSentenceTokenizer(punkt_param)
tokenizer.tokenize('Fig. 2 shows a U.S.A. map.')
它返回以下内容:
['Fig. 2 shows a U.S.A.', 'map.']
令牌生成器无法检测到缩写"U.S.A.",但可以在"fig"上使用. 现在,当我使用默认令牌生成器时,NLTK提供了:
The tokenizer can't detect the abbreviation "U.S.A.", but it worked on "fig". Now when I use the default tokenizer NLTK provides:
import nltk
nltk.tokenize.sent_tokenize('Fig. 2 shows a U.S.A. map.')
这次我得到:
['Fig.', '2 shows a U.S.A. map.']
它可以识别更常见的美国".但看不到图"!
It recognizes the more common "U.S.A." but fails to see "fig"!
如何结合这两种方法?我想使用默认的缩写选项以及添加自己的缩写.
How can I combine these two methods? I want to use default abbreviation choices as well as adding my own abbreviations.
推荐答案
我认为缩写列表中的美国小写对您来说效果很好 试试这个,
I think lower case for u.s.a in abbreviations list will work fine for you Try this,
from nltk.tokenize.punkt import PunktSentenceTokenizer, PunktParameters
punkt_param = PunktParameters()
abbreviation = ['u.s.a', 'fig']
punkt_param.abbrev_types = set(abbreviation)
tokenizer = PunktSentenceTokenizer(punkt_param)
tokenizer.tokenize('Fig. 2 shows a U.S.A. map.')
它返回给我:
['Fig. 2 shows a U.S.A. map.']
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