sinling 0.2.0

A language processing tool for Sinhalese (සිංහල)

A language processing tool for Sinhalese (සිංහල).

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.

How to get started

Steps-

1. Download stat.split.pickle to the resources folder
2. Import required tools from the sinling module in your desired project (you may have to append this project path to your path environment variable)

How to use

Sinhala Tokenizer

from sinling import SinhalaTokenizer

tokenizer = SinhalaTokenizer()

sentence = '...'  # your sentence

tokenizer.tokenize(sentence)

Sinhala Stemmer (Experimental)

from sinling import SinhalaStemmer

stemmer = SinhalaStemmer()

word = '...'  # your sentence

stemmer.stem(word)

Please cite sinhala-stemmer if you are using this implementation.

Part-of-Speech Tagger

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)

Word Joiner (Morphological Joiner)

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', ...]

Word Splitter (Morphological Splitter) / corpus based - experimental

from sinling import word_splitter

word = '...'
results = word_splitter.split(word)
# Returns a dict containing debug information, base word and affix

Visit here to see some sample splits.

Contributions

• Contact [e-mail] if you would like to contribute to this project.

License

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/