2013 - Pashtoxnx


C — Creative commentary: "pashtoxnx 2013" as cultural/creative artifact

  • Neural MT: use OpenNMT/PyTorch; apply subword (SentencePiece) on train corpora.
  • PashtoXNX 2013 was a regional linguistic and cultural initiative focused on the Pashto language and its digital presence. Launched in 2013, the project aimed to improve Pashto-language resources, increase online accessibility, and foster community contributions to Pashto computing and digital content. pashtoxnx 2013

    from pashtoxnx import PashtoProcessor
    p = PashtoProcessor(model='nx2013')   # load default pipeline
    text = "زما نوم احمد دی."
    tokens = p.tokenize(text)
    translit = p.transliterate(text)
    print(tokens)
    print(translit)