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Marathi to English Sentence Translator for Simple Assertive and Interrogative Sentences

by G.V. Garje, Akshay Bansode, Suyog Gandhi, Adita Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 5
Year of Publication: 2016
Authors: G.V. Garje, Akshay Bansode, Suyog Gandhi, Adita Kulkarni
10.5120/ijca2016908837

G.V. Garje, Akshay Bansode, Suyog Gandhi, Adita Kulkarni . Marathi to English Sentence Translator for Simple Assertive and Interrogative Sentences. International Journal of Computer Applications. 138, 5 ( March 2016), 42-45. DOI=10.5120/ijca2016908837

@article{ 10.5120/ijca2016908837,
author = { G.V. Garje, Akshay Bansode, Suyog Gandhi, Adita Kulkarni },
title = { Marathi to English Sentence Translator for Simple Assertive and Interrogative Sentences },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 5 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number5/24379-2016908837/ },
doi = { 10.5120/ijca2016908837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:53.971954+05:30
%A G.V. Garje
%A Akshay Bansode
%A Suyog Gandhi
%A Adita Kulkarni
%T Marathi to English Sentence Translator for Simple Assertive and Interrogative Sentences
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 5
%P 42-45
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to globalization English has become the official language of the world. About 71 million people speak Marathi as their native tongue. The major goal of proposed system is to develop software system which would translate Marathi Simple Assertive and Interrogative Sentences to corresponding English sentences. The quality of translation of existing system is very coarse. Since, there exist no fully functional Marathi to English Translation Systems; using rule-based approach we intend to develop one such system to produce translation with better quality.

References
  1. G V Garje, Adesh Gupta, Aishwarya Desai, Nikhil Mehta, Apurva Ravetkar, “ Marathi to English Machine Translation for Simple Sentences”, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358
  2. Abhay Adapanawar, Anita Garje, Paurnima Thakare, Prajakta Gundawar, Priyanka Kulkarni, “Rule Based English to Marathi Translation of Assertive Sentence”, International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013 1754 ISSN 2229-5518
  3. “AnnCorra : Annotating Corpora, Guidelines For POS And Chunk Annotation For Indian Languages”, Akshar Bharati, DiptiMisra Sharma, Lakshmi Bai, Rajeev Sangal, Language Technologies Research Centre, IIIT, Hyderabad
  4. http://www.censusindia.gov.in/2011-common/censusdataonline.html
  5. Prof. Goraksh V. Garje, Manisha Marathe, UrmilaAdsule, “Translation of Simple English Interrogative Sentences to Marathi Sentences”, in proceedings of ICWET-10, Mumbai, Maharashtra.
  6. Akshar Bharati, Rajeev Sangal, Dipti M Sharma, “SSF: Shakti Standard Format Guide”
  7. G.V. Garje, G.K. Kharate, Minal R. Apsangi, Harshad M. Kulkarni, Manasi S. Sant “Challenges in Rule Based Machine Translation From English To Marathi”, in proceedings of International Conference on Recent Trends in Engineering and Technology (ICRET’14), published in Elsevier digital laboratory.
  8. Website of the shallow parser : http://ltrc.iiit.ac.in/analyzer/marathi/
  9. Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu “Bleu: a Method for Automatic Evaluation of Machine Translation”, IBM Research Report, September 17, 2001
  10. Ananthakrishnan Ramanathan, ”Statistical Machine
  11. Translation”, Department of Computer Science andEngineering, Indian Institute of Technology, Bombay
Index Terms

Computer Science
Information Sciences

Keywords

Grammar Marathi Natural Language Processing Parser Rule-based Machine Translation

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