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Exploring Foreign Language Students’ Perceptions of the Guided Use of Machine Translation (GUMT) Model for Korean Writing
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In: L2 Journal, vol 14, iss 1 (2022)
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On the characteristic of personal reference terms in Korean: A comparison with Japanese based on TV dramas
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In: Conference Proceedings for the 9th Korean Studies Association of Australia (KSAA) Biennial Conference 2015 (2022)
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Intoxication and pitch control in tonal and non-tonal language speakers ...
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Heritage Language Development and Maintenance of Heritage Speakers of Korean in Australia in Primary School Years ...
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Text Data Augmentation for the Korean Language
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3425 (2022)
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Are you a die-hard K-pop fan? Examining English Korean code mixing uttered by an American native speaker youtuber
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 15-33 (2022) (2022)
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Emotion word development in bilingual children living in majority and minority contexts
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A Methodology of Building Evaluation-Annotated Datasets (EVAD) Based on the Evaluation-Triple in E-Commerce Reviews ; 이커머스 후기글 평가분석 트리플에 기반한 평가주석 데이터셋 EVAD 구축 방법론
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In: ISSN: 1229-0343 ; The Journal of Linguistics Science ; https://hal.archives-ouvertes.fr/hal-03565731 ; The Journal of Linguistics Science, 2021, 99, pp.245-272. ⟨10.21296/jls.2021.12.99.245⟩ (2021)
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Abstract:
National audience ; This study aims to introduce a methodology of building evaluation-annotated datasets based on the evaluation-triple schema that we extracted from reviews of fashion e-commerce applications. The evaluation triple defined in this study consists of ‘TARGET’, ‘ASPECT’, and ‘VALUE’. We classified the ASPECT-VALUE pairs into 35 categories, within three types: information-, judgment- and suggestion-related. The triples were represented under a set of Local Grammar Graphs based on the domain-specific dictionary DECO-DOM. By applying these linguistic resources to target review texts, we generated a large-scale annotated dataset. In this study, the Semi-automatic Symbolic Propagation (SSP) methodology proposed by Nam (2021) was adopted to generate the EVAD dataset of about 200,000 review texts. The evaluation of the SSP approach shows an F1- Score of 0.91, which confirms the reliability of the process that we propose in this study.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Annotated Dataset; Chatbot; Fashion recommendation; Korean language; Local grammar; Reveiw analysis; Semi-automatic symbolic propagation; Unitex; 반자동 언어데이터 증강 방법; 의류추천 챗봇; 전자사전; 평가분석; 평가주석 데이터셋
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URL: https://doi.org/10.21296/jls.2021.12.99.245 https://hal.archives-ouvertes.fr/hal-03565731
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WALS Online Resources for Korean
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: Max Planck Institute for Evolutionary Anthropology, 2021
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