The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation

Jang Chung-Hyok; Kim Kwang-Hyok

doi:doi:10.11648/j.mlr.20170202.15

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The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation

Jang Chung-Hyok, Kim Kwang-Hyok

Received: 2 February 2017 Accepted: 25 February 2017 Published: 15 March 2017

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Abstract

This paper describes the translation algorithm of English negative sentences in rule-based English-Korean Machine Translation (EKMT). The proposed algorithm is based on the comparative study of the linguistic characteristics of English and Korean negative sentences. The earlier versions of machine translation system which is under development by our research team, failed to translate English negative sentences into accurate Korean equivalents. On the basis of the comparative linguistic research on negation in English and Korean, a new translation algorithm of the English negative sentences was established and evaluated.

DOI	10.11648/j.mlr.20170202.15
Published in	Machine Learning Research (Volume 2, Issue 2, June 2017)
Page(s)	73-77
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Machine Translation, Negative Sentence, Negation, EKMT, Rule-Based Machine Translation

References

[1]	Ronald Carter & Michael McCarthy (2006). Cambridge Grammar of English, Cambridge University Press.
[2]	John Hutchins (2009). Trends in Machine Translation Research, University of East Anglia, Norwich, UK.
[3]	Christopher D. Manning & Hinrich Schütze (1999) Foundations of Statistical Natural Language Processing, The MIT Press.
[4]	David Crystal (2008) A Dictionary of Linguistics and Phonetics, Sixth Edition, Blackwell Publishing.
[5]	John Hutchins (2007). Machine Translation: a concise history. In Computer Aided Translation: Theory and Practice, C. S. Wai (ed.). Chinese University of Hong Kong.
[6]	John Hutchins & Somer, H. L (1992). An Introduction to Machine Translation. Academic Press, London.
[7]	Slav Petrov (2012) Coarse-to-Fine Natural Language Processing. Springer-Verlag Berlin Heidelberg.
[8]	Karsten Konrad (2004) Model Generation for Natural Language Interpretation and Analysis. Springer-Verlag Berlin Heidelberg.
[9]	Yorick Wilks (2009) Machine Translation: Its Scope and Limits. Springer.
[10]	Olive, J. (Ed), Christianson, C. (Ed), McCary, J. (Ed) (2011) Handbook of Natural Language Processing and Machine Translation. Springer.

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Jang Chung-Hyok, Kim Kwang-Hyok. (2017). The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Machine Learning Research, 2(2), 73-77. https://doi.org/10.11648/j.mlr.20170202.15

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Jang Chung-Hyok; Kim Kwang-Hyok. The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Mach. Learn. Res. 2017, 2(2), 73-77. doi: 10.11648/j.mlr.20170202.15

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AMA Style

Jang Chung-Hyok, Kim Kwang-Hyok. The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Mach Learn Res. 2017;2(2):73-77. doi: 10.11648/j.mlr.20170202.15

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@article{10.11648/j.mlr.20170202.15,
  author = {Jang Chung-Hyok and Kim Kwang-Hyok},
  title = {The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation},
  journal = {Machine Learning Research},
  volume = {2},
  number = {2},
  pages = {73-77},
  doi = {10.11648/j.mlr.20170202.15},
  url = {https://doi.org/10.11648/j.mlr.20170202.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170202.15},
  abstract = {This paper describes the translation algorithm of English negative sentences in rule-based English-Korean Machine Translation (EKMT). The proposed algorithm is based on the comparative study of the linguistic characteristics of English and Korean negative sentences. The earlier versions of machine translation system which is under development by our research team, failed to translate English negative sentences into accurate Korean equivalents. On the basis of the comparative linguistic research on negation in English and Korean, a new translation algorithm of the English negative sentences was established and evaluated.},
 year = {2017}
}

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TY  - JOUR
T1  - The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation
AU  - Jang Chung-Hyok
AU  - Kim Kwang-Hyok
Y1  - 2017/03/15
PY  - 2017
N1  - https://doi.org/10.11648/j.mlr.20170202.15
DO  - 10.11648/j.mlr.20170202.15
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
SP  - 73
EP  - 77
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20170202.15
AB  - This paper describes the translation algorithm of English negative sentences in rule-based English-Korean Machine Translation (EKMT). The proposed algorithm is based on the comparative study of the linguistic characteristics of English and Korean negative sentences. The earlier versions of machine translation system which is under development by our research team, failed to translate English negative sentences into accurate Korean equivalents. On the basis of the comparative linguistic research on negation in English and Korean, a new translation algorithm of the English negative sentences was established and evaluated.
VL  - 2
IS  - 2
ER  -

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Author Information

Jang Chung-Hyok

Faculty of Foreign Language and Literature, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea
Kim Kwang-Hyok

College of Computer Science, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

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APA Style

Jang Chung-Hyok, Kim Kwang-Hyok. (2017). The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Machine Learning Research, 2(2), 73-77. https://doi.org/10.11648/j.mlr.20170202.15

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ACS Style

Jang Chung-Hyok; Kim Kwang-Hyok. The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Mach. Learn. Res. 2017, 2(2), 73-77. doi: 10.11648/j.mlr.20170202.15

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AMA Style

Jang Chung-Hyok, Kim Kwang-Hyok. The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation. Mach Learn Res. 2017;2(2):73-77. doi: 10.11648/j.mlr.20170202.15

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@article{10.11648/j.mlr.20170202.15,
  author = {Jang Chung-Hyok and Kim Kwang-Hyok},
  title = {The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation},
  journal = {Machine Learning Research},
  volume = {2},
  number = {2},
  pages = {73-77},
  doi = {10.11648/j.mlr.20170202.15},
  url = {https://doi.org/10.11648/j.mlr.20170202.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170202.15},
  abstract = {This paper describes the translation algorithm of English negative sentences in rule-based English-Korean Machine Translation (EKMT). The proposed algorithm is based on the comparative study of the linguistic characteristics of English and Korean negative sentences. The earlier versions of machine translation system which is under development by our research team, failed to translate English negative sentences into accurate Korean equivalents. On the basis of the comparative linguistic research on negation in English and Korean, a new translation algorithm of the English negative sentences was established and evaluated.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation
AU  - Jang Chung-Hyok
AU  - Kim Kwang-Hyok
Y1  - 2017/03/15
PY  - 2017
N1  - https://doi.org/10.11648/j.mlr.20170202.15
DO  - 10.11648/j.mlr.20170202.15
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
SP  - 73
EP  - 77
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20170202.15
AB  - This paper describes the translation algorithm of English negative sentences in rule-based English-Korean Machine Translation (EKMT). The proposed algorithm is based on the comparative study of the linguistic characteristics of English and Korean negative sentences. The earlier versions of machine translation system which is under development by our research team, failed to translate English negative sentences into accurate Korean equivalents. On the basis of the comparative linguistic research on negation in English and Korean, a new translation algorithm of the English negative sentences was established and evaluated.
VL  - 2
IS  - 2
ER  -

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