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Cebuano-Stemmer

Cebuano Stemmer based on Krovetz Algorithm

Note: Only prefixes, suffixes, infixes, and reduplication is covered

Installation

  • pip install cebstemmer or
  • inside the folder run python setup.py install

Requirements

  • cebdict>=2.1

Functions

  • stem_word(word='', as_object=False)
    • Accepts a Cebuano word and returns the morphemes of the word

    • Default Output: List of morphemes

        [root, prefix, infix, suffix]
      
    • OPTION: as_object - When true, Word object is returned.

       ```
       class Word:
         def __init__(self, text=None):
             self.orig_text = text
             self.text = text.lower() if text is not None else text
             self.prefix = None
             self.infix = None
             self.suffix = None
             self.root = text.lower() if text is not None else text
             self.is_entry = False
       ```
      

How to Use

from cebstemmer import stemmer

stemmer.stem_word('buangon')

Output: 
   ['buangon', None, None, on]

word = stemmer.stem_word('buangon', as_object=True)
print(word.root)
print(word.suffix)

Output:
  buang
  on

Evaluation

png-2

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  • Python 61.8%
  • Jupyter Notebook 38.2%