Developing Language-Specific Models Using a Neural Architecture Search

This paper applies the neural architecture search (NAS) method to Korean and English grammaticality judgment tasks. Based on the previous research, which only discusses the application of NAS on a Korean dataset, we extend the method to English grammatical tasks and compare the resulting two archite...

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Autores principales:	YongSuk Yoo, Kang-moon Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	deep learning neural architecture search word ordering Korean syntax Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/c79334b89eb94989a5438a10f2e183a1
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id	oai:doaj.org-article:c79334b89eb94989a5438a10f2e183a1
record_format	dspace
spelling	oai:doaj.org-article:c79334b89eb94989a5438a10f2e183a12021-11-11T15:22:51ZDeveloping Language-Specific Models Using a Neural Architecture Search10.3390/app1121103242076-3417https://doaj.org/article/c79334b89eb94989a5438a10f2e183a12021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10324https://doaj.org/toc/2076-3417This paper applies the neural architecture search (NAS) method to Korean and English grammaticality judgment tasks. Based on the previous research, which only discusses the application of NAS on a Korean dataset, we extend the method to English grammatical tasks and compare the resulting two architectures from Korean and English. Since complex syntactic operations exist beneath the word order that is computed, the two different resulting architectures out of the automated NAS language modeling provide an interesting testbed for future research. To the extent of our knowledge, the methodology adopted here has not been tested in the literature. Crucially, the resulting structure of the NAS application shows an unexpected design for human experts. Furthermore, NAS has generated different models for Korean and English, which have different syntactic operations.YongSuk YooKang-moon ParkMDPI AGarticledeep learningneural architecture searchword orderingKorean syntaxTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10324, p 10324 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep learning neural architecture search word ordering Korean syntax Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	deep learning neural architecture search word ordering Korean syntax Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 YongSuk Yoo Kang-moon Park Developing Language-Specific Models Using a Neural Architecture Search
description	This paper applies the neural architecture search (NAS) method to Korean and English grammaticality judgment tasks. Based on the previous research, which only discusses the application of NAS on a Korean dataset, we extend the method to English grammatical tasks and compare the resulting two architectures from Korean and English. Since complex syntactic operations exist beneath the word order that is computed, the two different resulting architectures out of the automated NAS language modeling provide an interesting testbed for future research. To the extent of our knowledge, the methodology adopted here has not been tested in the literature. Crucially, the resulting structure of the NAS application shows an unexpected design for human experts. Furthermore, NAS has generated different models for Korean and English, which have different syntactic operations.
format	article
author	YongSuk Yoo Kang-moon Park
author_facet	YongSuk Yoo Kang-moon Park
author_sort	YongSuk Yoo
title	Developing Language-Specific Models Using a Neural Architecture Search
title_short	Developing Language-Specific Models Using a Neural Architecture Search
title_full	Developing Language-Specific Models Using a Neural Architecture Search
title_fullStr	Developing Language-Specific Models Using a Neural Architecture Search
title_full_unstemmed	Developing Language-Specific Models Using a Neural Architecture Search
title_sort	developing language-specific models using a neural architecture search
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c79334b89eb94989a5438a10f2e183a1
work_keys_str_mv	AT yongsukyoo developinglanguagespecificmodelsusinganeuralarchitecturesearch AT kangmoonpark developinglanguagespecificmodelsusinganeuralarchitecturesearch
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Developing Language-Specific Models Using a Neural Architecture Search

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