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Translation memory for indian languages: an aid for human translators

Authors:

N. Joshi,

I. Mathur,

S. MathurAuthors Info & Claims

ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

Pages 711 - 714

https://doi.org/10.1145/1980022.1980175

Published: 25 February 2011 Publication History

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Abstract

Translation of a text in one's local language can be very time consuming. Same text which needs to be translated, appears several times. This is very taxing for the translator, as she has to provide repetitive translations for same text. This paper shows the design of a translation tool which provided automatic translations for completely or partially reappearing text. This makes the task of the translator much easier, as she has to concentrate only on the text with no similarities.

References

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Macklovitch, E., and Russel, B. 2004. Bilingual concordancers and translation memories: A comparative evaluation. In Proceedings of Second International Workshop on Language Resources for Translation Work, Research and Training, Prague, Czech Republic.

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Bowker, L. 2002. Information Retrieval in Translation Memory Systems: Current Limitations and Possibilities for Future Development. Knowledge Organization Journal. 29, 4, 198--203.

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[3]

Schäler, R. 2001. Beyond Translation Memories. Paper presented at the Workshop on Example Based Machine Translation, held at Machine Translation Summit VIII in Santiago de Compostela, Spain.

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Kay, M. 1997. The Proper Place of Man and Machine in Language Translation. Machine Translation. 12, 1, 3--23.

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Gow, F. 2003. Metrics for Evaluating Translation Memory Software. MA Thesis, University of Ottawa.

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Barrachina, S., Bender, O., Casacuberta, F., Civera, J., Cubel, E., Khadivi, S., Lagarda, A., Ney, H., Tomás, J., Vidal, E. & Vilar J. M. 2009. Statistical Approaches to Computer Assisted Translation. Computational Linguistics. Vol 35, 1, 3--28.

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Joshi NMathur IDarbari HKumar A(2016)Quality Estimation of English-Hindi Machine Translation SystemsProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies10.1145/2905055.2905259(1-5)Online publication date: 4-Mar-2016
https://dl.acm.org/doi/10.1145/2905055.2905259
Joshi NMathur IDarbari HKumar A(2015)Incorporating Machine Learning Techniques in MT EvaluationAdvances in Intelligent Informatics10.1007/978-3-319-11218-3_20(205-214)Online publication date: 2015
https://doi.org/10.1007/978-3-319-11218-3_20
Joshi NDarbari HMathur I(2012)Human and Automatic Evaluation of English to Hindi Machine Translation SystemsAdvances in Computer Science, Engineering & Applications10.1007/978-3-642-30157-5_42(423-432)Online publication date: 2012
https://doi.org/10.1007/978-3-642-30157-5_42

Index Terms

Translation memory for indian languages: an aid for human translators
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

February 2011

1385 pages

ISBN:9781450304498

DOI:10.1145/1980022

Program Chair:
B. K. Mishra

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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Association for Computing Machinery

New York, NY, United States

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Published: 25 February 2011

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Thakur College Of Engg. & Tech

ICWET '11: International Conference & Workshop on Emerging Trends in Technology

February 25 - 26, 2011

Maharashtra, Mumbai, India

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Joshi NMathur IDarbari HKumar A(2016)Quality Estimation of English-Hindi Machine Translation SystemsProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies10.1145/2905055.2905259(1-5)Online publication date: 4-Mar-2016
https://dl.acm.org/doi/10.1145/2905055.2905259
Joshi NMathur IDarbari HKumar A(2015)Incorporating Machine Learning Techniques in MT EvaluationAdvances in Intelligent Informatics10.1007/978-3-319-11218-3_20(205-214)Online publication date: 2015
https://doi.org/10.1007/978-3-319-11218-3_20
Joshi NDarbari HMathur I(2012)Human and Automatic Evaluation of English to Hindi Machine Translation SystemsAdvances in Computer Science, Engineering & Applications10.1007/978-3-642-30157-5_42(423-432)Online publication date: 2012
https://doi.org/10.1007/978-3-642-30157-5_42

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Large aligned treebanks for syntax-based machine translation

Post-editing neural machine translation versus translation memory segments

Document-Specific statistical machine translation for improving human translation productivity

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