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An Approach for Predicting Related Word for the Hindi Language

by Monika Sharma, Dinesh Gopalani, Meenakshi Tripathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 6
Year of Publication: 2015
Authors: Monika Sharma, Dinesh Gopalani, Meenakshi Tripathi
10.5120/ijca2015905367

Monika Sharma, Dinesh Gopalani, Meenakshi Tripathi . An Approach for Predicting Related Word for the Hindi Language. International Journal of Computer Applications. 123, 6 ( August 2015), 29-34. DOI=10.5120/ijca2015905367

@article{ 10.5120/ijca2015905367,
author = { Monika Sharma, Dinesh Gopalani, Meenakshi Tripathi },
title = { An Approach for Predicting Related Word for the Hindi Language },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 6 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number6/21965-2015905367/ },
doi = { 10.5120/ijca2015905367 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:57.793033+05:30
%A Monika Sharma
%A Dinesh Gopalani
%A Meenakshi Tripathi
%T An Approach for Predicting Related Word for the Hindi Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 6
%P 29-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Without motivation, writing may be a cumbersome process. In this work, a methodology is proposed which will assist user by providing some reference information e.g. related words while composing an article or message. Smart systems with related word prediction have turned out to be extremely prevalent for English language but there is no such big efforts for Hindi language. The main goal of this dissertation work is to provide syntactically and semantically related words based on continuous feature vector representation. Continuous Bag of Words (CBOW) language model is used to get the feature vector representation of each word in training set. Cosine Distance and rule based strategy is used as measurement to find the most related word in context. In a comparative study we reasoned that our method excels in accuracy estimation than existing method. This approach will help Hindi writing in an effective and creative manner.

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Index Terms

Computer Science
Information Sciences

Keywords

Language Modelling Curse of Dimensionality Distributed Representation CBOW POS tagging.

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