Acta Scientific Computer Sciences

Research Article Volume 3 Issue 10

Pattern Defined Corpus Construction: A Complete Training to Building the Corpus

Sayed Majid Ali Shah*, Zeeshan Bhatti, Zulfiqar Ali Bhutto and Kamran Taj Pathan

Dr. A.H.S. Bukhari Institute of Information Communication and Technology, University of Sindh, Jamshoro, Pakistan

*Corresponding Author: Sayed Majid Ali Shah, Dr. A.H.S. Bukhari Institute of Information Communication and Technology, University of Sindh, Jamshoro, Pakistan.

Received: August 22, 2021; Published: September 14, 2021

Abstract

  Corpus is considering the mandatory component required for the processing of any language to building the Natural Language Processing (NLP) applications that perform the tasks, particularly the language analysis, manipulation, and information retrieval. In this article, a procedure has been discussed and illustrated for the constructions of the corpus. This study illustrates the training about the constructions of the corpus in any language. Numerous approaches have been sketched through different perspectives of the language with the support of the Sindhi language. The applications including machine translation, spell checking, grammar checking, parts of speech tagging, named entity recognition and word identification also have been addressed.  The text has been taken from various digital sources such as newspaper websites, blogs, e-books, and magazines. The procedural models also have been demonstrated for the NLP applications by using the corpus.

Keywords: Natural Language Processing (NLP); Corpus; Sindhi Language

Bibliography

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Citation

Citation: Sayed Majid Ali Shah., et al. “Pattern Defined Corpus Construction: A Complete Training to Building the Corpus". Acta Scientific Computer Sciences 3.10 (2021): 33-36.

Copyright

Copyright: © 2021 Sayed Majid Ali Shah., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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