Punjabi to English Translator Using Supervised Learning

Vol-4 | Issue-02 | February 2019 | Published Online: 20 February 2019    PDF ( 334 KB )
DOI: https://doi.org/10.5281/zenodo.2585946
Author(s)
Navjot Kaur 1; Vijay Dhir 2; Vijay Rana 3

1Research Scholar, Sant Baba Bhag Singh University, Jalandhar, PB (India)

2Director, Sant Baba Bhag Singh University, Jalandhar, PB (India)

3Assistant Professor, Sant Baba Bhag Singh University, Jalandhar, PB (India)

Abstract

WSD has a long history of research and is considered one of the hardest problems in Artificial Intelligence Building of sense tagged data is a main challenge for supervised techniques that achieve promising results in word sense disambiguation, problem, in this paper (preset tense), WSD can be encapsulates follows: given an ambiguous word, such as bank, determine which sense of the word (i.e. a financial institution, the side of a river, a type of basketball shot, etc.) is being used in given context. In this paper we exploit supervised technique and we find the relatedness between two or more words.

Keywords
WSD, Relatedness, Supervised learning
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