uhh-lt/amharicprocessor

Amharic Segmenter and tokenizer ## Amharic Segmenter and tokenizer This is a simple script that split an Amharic document into different sentences and tokenes. If you find an issue, please let us know in the GitHub Issues The Segmenter is part of the `Semantic Models for Amharic` Project # Usage * Install the segmenter: `pip install amseg` ## Tokenization and Segmentation ``` from amseg.amharicSegmenter import AmharicSegmenter sent_punct = [] word_punct = [] segmenter = AmharicSegmenter(sent_punct,word_punct) words = segmenter.amharic_tokenizer("እአበበ በሶ በላ።") sentences = segmenter.tokenize_sentence("እአበበ በሶ በላ። ከበደ ጆንያ፤ ተሸከመ፡!ለምን?") ``` Outputs > words = ['እአበበ', 'በሶ', 'በላ', '።'] > > sentences = ['እአበበ በሶ በላ።', 'ከበደ ጆንያ፤ ተሸከመ፡!', 'ለምን?'] ## Romanization and Normalization ``` from amseg.amharicNormalizer import AmharicNormalizer as normalizer from amseg.amharicRomanizer import AmharicRomanizer as romanizer normalized = normalizer.normalize('ሑለት ሦስት') romanized = romanizer.romanize('ሑለት ሦስት') ``` Outputs > normalized = 'ሁለት ሶስት' > > romanized = 'ḥulat śosət' # Announcements ### :tada: :tada: The Amharic Segmenter is released and can be installed as `pip install amseg` :tada: :tada ## Publications To cite the Amharic segmenter/tokenizer tool, use the following paper ``` @Article{fi13110275, AUTHOR = {Yimam, Seid Muhie and Ayele, Abinew Ali and Venkatesh, Gopalakrishnan and Gashaw, Ibrahim and Biemann, Chris}, TITLE = {Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets}, JOURNAL = {Future Internet}, VOLUME = {13}, YEAR = {2021}, NUMBER = {11}, ARTICLE-NUMBER = {275}, URL = {mdpi.com, ISSN = {1999-5903}, DOI = {10.3390/fi13110275} } ```