IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Conversion of Higher into Lower Language Using Machine Translation

Conversion of Higher into Lower Language Using Machine Translation
View Sample PDF
Author(s): Raghvendra Kumar (Lakshmi Narain College of Technology, India), Prasant Kumar Pattnaik (KIIT University (Deemed), India) and Priyanka Pandey (Lakshmi Narain College of Technology, India)
Copyright: 2017
Pages: 16
Source title: Web Semantics for Textual and Visual Information Retrieval
Source Author(s)/Editor(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia) and V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2483-0.ch005

Purchase

View Conversion of Higher into Lower Language Using Machine Translation on the publisher's website for pricing and purchasing information.

Abstract

This chapter addresses an exclusive approach to expand a machine translation system beginning higher language to lower language. Since we all know that population of India is 1.27 billion moreover there are more than 30 language and 2000 dialects used for communication of Indian people. India has 18 official recognized languages similar to Assamese, Bengali, English, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Malayalam, Manipuri, Marathi, Nepali, Oriya, Punjabi, Sanskrit, Tamil, Telugu, and Urdu. Hindi is taken as regional language and is used for all types of official work in central government offices. Commencing such a vast number of people 80% of people know Hindi. Though Hindi is also regional language of Jabalpur, MP, India, still a lot of people of Jabalpur are unable to speak in Hindi. So for production those people unswerving to know Hindi language we expand a machine translation system. For growth of such a machine translation system, used apertium platform as it is free/open source. Using apertium platform a lot of language pairs more specifically Indian language pairs have already been developed. In this chapter, develop a machine translation system for strongly related language pair i.e Hindi to Jabalpuriya language (Jabalpur, MP, India).

Related Content

M. Govindarajan. © 2022. 23 pages.
Rajab Ssemwogerere, Wamwoyo Faruk, Nambobi Mutwalibi. © 2022. 33 pages.
Surabhi Verma, Ankit Kumar Jain. © 2022. 34 pages.
Kriti Aggarwal, Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar. © 2022. 25 pages.
Praneeth Gunti, Brij B. Gupta, Elhadj Benkhelifa. © 2022. 26 pages.
Yin-Chun Fung, Lap-Kei Lee, Kwok Tai Chui, Gary Hoi-Kit Cheung, Chak-Him Tang, Sze-Man Wong. © 2022. 13 pages.
Lap-Kei Lee, Kwok Tai Chui, Jingjing Wang, Yin-Chun Fung, Zhanhui Tan. © 2022. 16 pages.
Body Bottom