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View Code? Open in Web Editor NEWA code for transliterating (romanizing) Arabic text using the American Library Association - Library of Congress (ALA-LC) standard
A code for transliterating (romanizing) Arabic text using the American Library Association - Library of Congress (ALA-LC) standard
hi i am a student i work for sentiment analysis for twitter multiligual with python
i have an error when i tried this code so can you help me please????????
the error is
""
test
Traceback (most recent call last):
File "C:/pyth27/essai/twitter/arabic-analex.py", line 694, in
mainly();
File "C:/pyth27/essai/twitter/arabic-analex.py", line 682, in mainly
analyzer = analex();
File "C:/pyth27/essai/twitter/arabic-analex.py", line 47, in init
self.nounstemmer = stem_noun.nounStemmer(); # to stem nouns
File "C:\pyth27\essai\twitter\stem_noun.py", line 33, in init
self.compStemmer.set_infix_letters(stem_noun_const.COMP_INFIX_LETTERS);
AttributeError: ArabicLightStemmer instance has no attribute 'set_infix_letters'
""
The python2 compatible version of the module used caching in the transliteration itself, and Codernity was used for that.
However, the context at which this module is meant to be used is limited to relatively small files, and perhaps caching is not really needed. To test thins assumption, caching was turned off temporarily, and there was no change in the transliteration output.
In addition, since there is no python3 version of Codernity, so perhaps it should be removed from the codebase altogether.
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