Http://www.aclweb.or G/anthology/W/W11/W1 1-3413.pdf

W11-3413.pdf
Preview of http://www.aclweb.or g/anthology/W/W11/W1 1-3413.pdf
🔗 Source: aclweb.org
📊 Size: 719 KB
📄 Pages: 9 pages
⬇️ Downloads: 79

Summary

Two algorithms are proposed to address this issue: a Hidden Markov Model (HMM) and an n-gram model. Both approaches achieve over 92% word disambiguation accuracy. The paper highlights the challenges of transliterating Shahmukhi text into Gurmukhi script, including the lack of short vowels and multiple possible mappings in Gurmukhi.

Description

Two algorithms are proposed to address this issue: a Hidden Markov Model (HMM) and an n-gram model.

Technical Information

  • File Format: PDF
  • File Size: 719 KB
  • Pages: 9
  • Language: EN
  • Total Downloads: 79
  • Last Updated: 1 month ago

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