Update 2020.11.01: Fixed pypi package. Use 'pip install sinling' to install sinling directly from repository.
Update 2020.08.16: Add pypi package @ https://pypi.org/project/sinling/.
Update 2020.08.16: Integrated Part of speech tagger and stemmer tool.
Update 2019.07.21: This tool no longer requires java to run sinhala tokenizer. All java code is ported to Python implementation for convenience.
Run the following command in your virtualenv to install this package.
pip install sinling
from sinling import SinhalaTokenizer
tokenizer = SinhalaTokenizer()
sentence = '...' # your sentence
tokenizer.tokenize(sentence)from sinling import SinhalaStemmer
stemmer = SinhalaStemmer()
word = '...' # your sentence
stemmer.stem(word)Please cite sinhala-stemmer if you are using this implementation.
from sinling import SinhalaTokenizer, POSTagger
tokenizer = SinhalaTokenizer()
document = '...' # may contain multiple sentences
tokenized_sentences = [tokenizer.tokenize(f'{ss}.') for ss in tokenizer.split_sentences(document)]
tagger = POSTagger()
pos_tags = tagger.predict(tokenized_sentences)from sinling import preprocess, word_joiner
w1 = preprocess('මුනි')
w2 = preprocess('උතුමා')
results = word_joiner.join(w1, w2)
# Returns a list of possible results after applying join rules ['මුනිතුමා', ...]from sinling import word_splitter
word = '...'
results = word_splitter.split(word)
# Returns a dict containing debug information, base word and affixVisit here to see some sample splits.
- Contact
[email protected]if you would like to contribute to this project.
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/