research-article

A deconverter framework for Malayalam

Authors:

Misiriya Shahul Hameed,

C. N. Subalalitha,

Ranjani ParthasarathiAuthors Info & Claims

ICACCI '12: Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Pages 847 - 856

https://doi.org/10.1145/2345396.2345534

Published: 03 August 2012 Publication History

Abstract

This paper discusses the design and implementation of a deconverter framework for the Malayalam Language. The Universal Networking Language or UNL facilitates translation between Natural Languages across the world. The paper focuses on the linguistic aspects of Malayalam required for the deconversion process. The case marking module handles the different UNL relations and their corresponding language features in Malayalam. A Morphological Generator takes care of generation of Malayalam words with the appropriate case endings and features, with respect to the cases and UNL attributes present in the UNL expression. The words are rearranged by the Syntax Planning Module to produce proper Natural Language sentences. These language dependent features for Malayalam have been successfully incorporated into a Deconverter Framework that handles English and Tamil currently. The Deconverter for Malayalam can currently produce simple Malayalam sentences and handle sentences with single clausal phrases also. It is being enhanced to handle more types of sentences. The present system is a small achievement towards attaining a complete translation facility for the Malayalam language. The following sections examine what has been implemented so far in the Deconverter and what more can be done to realize that dream of a translation facility.

References

[1]

Al Ansary, S., Interlingua-based Machine Translation Systems: UNL versus Other Interlinguas. in 11th International Conference on Language Engineering, (Ain Shams University, Cairo, Egypt, 2011).

[2]

Bhattacharyya, P., Multilingual Information Processing Using Universal Networking Language. in Indo UK Workshop on Language Engineering for South Asian Languages (LESAL), (Mumbai, India, April, 2001).

[3]

Chawla, A. UNL Punjabi Deconverter. MastersThesis, Thapar University, Patiala, 2006.

[4]

Dhanabalan, T., Geetha, T. V., UNL Deconverter for Tamil. in International Conference on the Convergence of Knowledge, Culture, Language apd Information Technologies, (December 2-6, Alexandria, EGYPT, 2003).

[5]

Idicula,S.M. Design and Development of an Adaptable Frame-Based System for Dravidian Language-Processing. Doctoral Thesis, Department of Computer Science and Technology, CUSAT, Cochin, 1999.

[6]

Malayalam Grammar. Retrieved (N.D.), from: http://ia700204.us.archive.org/6/items/rosettaproject_mal_morsyn-1/rosettaproject_mal_morsyn-1.pdf

[7]

Rajan, R., Sivan, R., Ravindran, R., Soman, K. P., Rule Based Machine Translation from English to Malayalam. in ACT '09 Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, (Trivandrum, Kerala, India, 2009), Pages 439--44.

Digital Library

[8]

Roa, D. MT in India:A brief survey. National Centre for SoftwareTechnical, Mumbai, 2000.

[9]

Saranya, S. K. Morphological Analyser for Malayalam Verbs. Masters Thesis, Amrita School of Engineering, Coimbatore, 2011.

[10]

Singh, S., Dalal, M., Vachhani, V., Bhattacharyya, P., Damani, O. P., Hindi Generation from Interlingua (UNL). in Machine Translation Summit XI, (2007).

[11]

Sinha, R. M. K., Beyond MT: An Indian Press. in Proceeding of LEC'02, (2002).

[12]

Spall, S. S., Gupta, G., Bhatia, P., Architecture of UNL Punjabi Deconverter. in National Conference on Challenges and Opportunities in Information Technology, Proceedings of COIT 2007, (2007).

[13]

The Universal Networking Digital Language website. Retrieved(N.D.),from: http://www.undl.org/index.php?option=com_content&view=article&id=49&Itemid=70&lang=en#EnConverter.

[14]

The Universal Networking Digital Language website. Retrieved(N.D.),from: http://www.undl.org/index.php?option=com_content&view=article&id=49&Itemid=71&lang=en#DeConverter

[15]

Zhu, Meiying., Uchida, Hiroshi., UNL Center, UNDL Foundation -- Universal Word and UNL Knowledge Base. in ICUKL-2002, (25-29 Nov. 2002, Goa of India).

Cited By

Premjith BSoman K(2021)Deep Learning Approach for the Morphological Synthesis in Malayalam and Tamil at the Character LevelACM Transactions on Asian and Low-Resource Language Information Processing10.1145/345797620:6(1-17)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3457976
Sridhar RSethuraman PKrishnakumar K(2016)English to Tamil machine translation system using universal networking languageSādhanā10.1007/s12046-016-0504-941:6(607-620)Online publication date: 1-Jul-2016
https://doi.org/10.1007/s12046-016-0504-9

Index Terms

A deconverter framework for Malayalam
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Machine translation
      2. Natural language generation

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cover image ACM Other conferences

ICACCI '12: Proceedings of the International Conference on Advances in Computing, Communications and Informatics

August 2012

1307 pages

ISBN:9781450311960

DOI:10.1145/2345396

Editors:
Sabu M. Thampi,
El-Sayed El-Afry,
Javier Aguiar,
General Chairs:
K. Gopalan
Purdue University Calumet
,
Sabu M. Thampi
Indian Institute of Information Technology and Management - Kerala, India

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ISCA: International Society for Computers and Their Applications
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 August 2012

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ICACCI '12: 2012 International Conference on Advances in Computing, Communications and Informatics

August 3 - 5, 2012

Chennai, India

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Cited By

Premjith BSoman K(2021)Deep Learning Approach for the Morphological Synthesis in Malayalam and Tamil at the Character LevelACM Transactions on Asian and Low-Resource Language Information Processing10.1145/345797620:6(1-17)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3457976
Sridhar RSethuraman PKrishnakumar K(2016)English to Tamil machine translation system using universal networking languageSādhanā10.1007/s12046-016-0504-941:6(607-620)Online publication date: 1-Jul-2016
https://doi.org/10.1007/s12046-016-0504-9

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