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Bilingual word-embedding for korean and english without word alignments
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Publication Year
2018-01-01
Journal
Lecture Notes in Electrical Engineering
Publisher
Springer Verlag
Citation
Lecture Notes in Electrical Engineering, Vol.425, pp.439-444
Mesh Keyword
Bilingual tasksCross-lingualDifferent originsPreprocessing timeSentence levelWord alignmentWord orders
All Science Classification Codes (ASJC)
Industrial and Manufacturing Engineering
Abstract
In spite of lots of cross-lingual word embedding models for various languages, approaches that support cross-lingual word embedding between languages that have different word order and different origin word are lacking. In this study, we address the problem of cross-lingual word embedding between Korean and English that have different word order and origin and perform experiments to examine its performance behavior. Cross-lingual models have different levels of supervision. For training between languages which have different word order, it is essential to reduce preprocessing time. Therefore, two sentence-level alignment cross-lingual models are chosen for our experiments. Our results show that cross-lingual embedding for Korean and English without word-alignment is possible. We also analyze which bilingual tasks are proper for each trained result by comparing characteristic of each model’s trained result.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36248
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022180479&origin=inward
DOI
https://doi.org/10.1007/978-981-10-5281-1_48
Journal URL
http://www.springer.com/series/7818
Type
Conference
Funding
This research was supported by the MISP (Ministry of Science, ICT & Future Planning), Korea, under the National Program for Excellence in SW) supervised by the IITP (Institute for Information & communications Technology Promotion) (R22151610020001002).
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Sohn, Kyung-Ah Image
Sohn, Kyung-Ah손경아
Department of Software and Computer Engineering
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