Spacy Token类sent_start属性调用触发段错误问题排查求助
Token.sent_start in spaCy Let's break down what's happening here and how to fix it:
The Root Cause
You're seeing a segmentation fault because the sent_start attribute of spaCy's Token class depends entirely on the parser component to populate its value. When you loaded the French model with disable='parser', you turned off the component responsible for sentence boundary detection and syntactic parsing—so the internal state that sent_start relies on was never initialized. Accessing this uninitialized memory directly triggers the low-level segmentation fault error.
Fixes to Try
There are two straightforward ways to resolve this:
1. Keep the Parser Enabled
If you don't have a strong reason to disable the parser, simply remove the disable parameter when loading the model. This will let spaCy run the full pipeline, including sentence segmentation:
import spacy string_doc = u"Je voudrais maitriser l'outil Spacy. C'est util pour le traitement automatique de textes." nlp = spacy.load('fr') # No more disabling the parser doc = nlp(string_doc) print([tok.sent_start for tok in doc])
2. Use the Sentencizer Component (If You Don't Need Full Parsing)
If you want to skip heavy syntactic parsing but still need sentence boundary detection, you can use spaCy's lightweight sentencizer component (available in spaCy 2.0+). This adds basic sentence splitting without running the full parser:
import spacy from spacy.lang.fr import French string_doc = u"Je voudrais maitriser l'outil Spacy. C'est util pour le traitement automatique de textes." nlp = spacy.load('fr', disable=['parser']) # Add the sentencizer to the pipeline sentencizer = French.Defaults.create_sentencizer(nlp) nlp.add_pipe(sentencizer) doc = nlp(string_doc) print([tok.sent_start for tok in doc])
Why This Happens
Segmentation faults in spaCy almost always stem from trying to access data that hasn't been initialized by the required pipeline components. Since sent_start is set during the parser's processing step, skipping that step leaves a gap in the token's internal data that the underlying C code can't handle safely.
内容的提问来源于stack exchange,提问作者dada

