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2020 | OriginalPaper | Chapter

PURAN: Word Prediction System for Punjabi Language News

Authors : Gurjot Singh Mahi, Amandeep Verma

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

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Abstract

This paper presents an outline of the PURAN: A state-of-the-art word prediction system for Punjabi language news. Word prediction systems are used to increase the user text composition rate while typing the text. Brief background of the various approaches utilized in the development of word prediction systems, while discussing the various factors affecting the development of such systems is provided. This paper also elaborates the word prediction system architecture in detail. The system performance was tested on Keystroke saving, Hit ratio, Average rank and Average keystrokes benchmark metrics. The paper demonstrates that the PURAN has achieved highest Hit ratio in Regional news genre followed by National news genre by making lowest average keystrokes in the said categories of news. The results show that system has achieved 88.38% Average Hit ratio with 51.42% Average keystroke saving for N = 10.

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Metadata
Title
PURAN: Word Prediction System for Punjabi Language News
Authors
Gurjot Singh Mahi
Amandeep Verma
Copyright Year
2020
Publisher
Springer Singapore
Book
Data Management, Analytics and Innovation

Print ISBN: 978-981-329-948-1

Electronic ISBN: 978-981-329-949-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9949-8_26