Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)

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Developing Multilingual Automotive E-Dictionary Based on Corpus Linguistics

Authors
Yuliana Ningsih*, Adhiela Noer Syaief, Kurnia Dwi Artika, Herpendi Herpendi
Department of Agroindustry, Automotive Technology, Computer & Network Engineering Technology, Politeknik Negeri Tanah Laut, South Kalimantan, Indonesia
Corresponding Author
Yuliana Ningsih
Available Online 4 March 2022.
DOI
10.2991/assehr.k.220301.160How to use a DOI?
Keywords
automotive; E-dictionary; multilingual; corpus; linguistics
Abstract

The study aims to compile a dictionary that makes students, Indonesian workers, especially mechanics, supervisors in the automotive sector who work or study in the automotive industry need an automotive dictionary. The Design and Development (D&D) model used in this study and obtaining data were taken from automotive books, automotive websites for technical language specifically for automotive engines, and additional data from official and non-official workshops for workshop languages commonly used daily. This study used the Antconc application for automotive text corpus processing. This dictionary has three languages: English (automotive)-Indonesian-local (workshop language), which were arranged to start from the first alphabet that is pronounced. The product’s result was a multilingual automotive e-dictionary which several experts validate categorized as a “valid and excellent” product. The multilingual automotive e-dictionary group in the experimental group was more effective; 0.6 than the control group; 0.3. The Cronbach Alpha value from six variables: content, format, accuracy, ease of use, timeliness and user satisfaction was greater than 0.60 (the existing provisions). It showed that the variable was “reliable” as a measure of reliability test.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 March 2022
ISBN
978-94-6239-547-3
ISSN
2352-5398
DOI
10.2991/assehr.k.220301.160How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Yuliana Ningsih
AU  - Adhiela Noer Syaief
AU  - Kurnia Dwi Artika
AU  - Herpendi Herpendi
PY  - 2022
DA  - 2022/03/04
TI  - Developing Multilingual Automotive E-Dictionary Based on Corpus Linguistics
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
PB  - Atlantis Press
SP  - 962
EP  - 967
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220301.160
DO  - 10.2991/assehr.k.220301.160
ID  - Ningsih2022
ER  -