Exploring The Potential of HMMs in Linguistics for Part of Speech (POS) Tagging-Reference-Cited by-同舟云学术

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Exploring The Potential of HMMs in Linguistics for Part of Speech (POS) Tagging

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on IT and Industrial Technologies (ICIT)
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Author:

Iftikhar Mahnoor¹,Ali Raja Hashim²,Saleem Memoona¹,Arshad Usama¹,Ijaz Ali Zeeshan²,Ali Nisar³,Imad Muhammad²,Bakar Muhammad Abu²,Aftab Ali²

Affiliation:

1. GIK Institute of Engg. Sciences & Tech,Faculty of Computer Science & Engg,Khyber Pakhtunkhwa,Pakistan

2. AI Research Group GIK Institute of Engg. Sciences & Tech,Faculty of Computer Science & Engg,Khyber Pakhtunkhwa,Pakistan

3. University of Regina,Faculty of Electronic Systems Engg,Regina,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335694/10335700/10335862.pdf?arnumber=10335862

Reference28 articles.

1. Part of speech tagging: a systematic review of deep learning and machine learning approaches

2. Analysis of implemented part of speech tagger approaches: The case of Ethiopian languages

3. Importance of Synteny in Homology Inference

4. Futuristic blockchain based scalable and cost-effective 5G vehicular network architecture

5. Solving Graph Coloring Problem via Graph Neural Network (GNN)

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