README.md

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

References

• Krovetz, R. (1993). Viewing morphology as an inference process (pp. 191–202). ACM Press. https://doi.org/10.1145/160688.160718