NDLI: Development of Indonesian-Japanese statistical machine translation using lemma translation and additional post-process

Content Provider	IEEE Xplore Digital Library
Author	Sulaeman, M.A. Purwarianti, A.
Copyright Year	2015
Description	Author affiliation: Sch. of Electr. Eng. & Inf., Bandung Inst. of Technol., Bandung, Indonesia (Sulaeman, M.A.; Purwarianti, A.)
Abstract	Despite the fact that study of statistical machine translation has been growing rapidly to date, there has not been much research done about Indonesian-Japanese statistical machine translation. The previous research about Indonesian-Japanese statistical machine translation has shown several problems in translation process, such as low coverage corpus data, unknown words, and sentence reordering problem. In this research, we propose two methods to address these problems. The proposed methods are lemma translation with generated surface form and additional post-process. Lemma translation uses lemma and POSTAG of word in its translation process. Rule based katakana translation and unknown word substitution are also used for additional post-process. Experimental data was collected from JLPT (Japanese Language Proficiency Test) Level 3 with total 1132 sentences. Experimental results using these methods showed an improvement over the baseline system with a 116% increased BLEU score on Japanese to Indonesian translation and 26% increased BLEU score on Indonesian to Japanese translation.
Starting Page	54
Ending Page	58
File Size	230184
Page Count	5
File Format	PDF
ISBN	9781467367783
ISSN	21556830
e-ISBN	9781467373197
DOI	10.1109/ICEEI.2015.7352469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-10
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrical engineering post-processing statistical machine translation Buildings Probability Data models Decoding lemma translation Informatics BLEU score Surface treatment
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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