Pashtoxnx 2013 -


B — Dataset/corpus: "pashtoxnx 2013" (assumed Pashto × NX corpus from 2013)


If you meant a specific repository, paper, or file, tell me which one and I’ll produce a focused tutorial (installation, code examples, or step-by-step analysis) tailored to that exact resource.

Title: Exploring Pashto Culture: A Look Back at 2013 pashtoxnx 2013

Hello everyone!

As we continue to celebrate and appreciate diverse cultures around the world, I wanted to take a moment to highlight the rich and vibrant Pashto culture. Specifically, I'm interested in learning more about Pashto music, movies, and events from 2013. B — Dataset/corpus: "pashtoxnx 2013" (assumed Pashto ×

For those who may not be familiar, Pashto is a beautiful language spoken in Afghanistan and parts of Pakistan. The Pashto community has a thriving cultural scene, with many talented artists, musicians, and filmmakers contributing to its richness.

In 2013, there were several notable events and releases in the Pashto entertainment industry. From new music albums to movie releases, it was an exciting year for Pashto culture. If you meant a specific repository, paper, or

What are your favorite Pashto memories or experiences from 2013?

Let's discuss and share our knowledge and appreciation for Pashto culture!

  • Neural MT: use OpenNMT/PyTorch; apply subword (SentencePiece) on train corpora.
  • 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)