A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language-Reference-Cited by-同舟云学术

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A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

Published:2024 Issue: Volume:12 Page:86355-86364
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ullah Shaheen¹,Ahmad Riaz¹,Namoun Abdallah²^ORCID,Muhammad Siraj¹^ORCID,Ullah Khalil³^ORCID,Hussain Ibrar⁴^ORCID,Ibrahim Isa Ali⁵^ORCID

Affiliation:

1. Department of Computer Science, Shaheed Benazir Bhutto University (SBBU), Sheringal, Upper Dir, Khyber Pakhtunkhawa, Pakistan

2. Faculty of Computer Science and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia

3. Department of Software Engineering, University of Malakand (UOM), Khyber Pakhtunkhawa, Pakistan

4. Department of Computer Science and Information Technology, University of Malakand (UOM), Dir Lower, Chakdara, Khyber Pakhtunkhawa, Pakistan

5. Department of Cybersecurity, School of Information and Communication Technology, Federal University of Technology Owerri, Owerri, Nigeria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10552703.pdf?arnumber=10552703

Reference50 articles.

1. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging;Brill;Comput. Linguistics,1995

2. How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

3. Building a Large Annotated Corpus of English: The Penn Treebank

4. Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network

5. Pashtoon culture in Pashto Tappa;Khalil,2011

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