언어연구 · 한국현대언어학회

Research Article

Linguistic Resources in English Learners’ Texts
영어학습자의 텍스트에 나타난 언어자원 사용에 대한 연구

Woo, Sujung
우수정

The study examines the linguistic resources used in the self-introduction produced by English learners at university level. According to Systemic Functional Linguistics ... + READ MORE

The study examines the linguistic resources used in the self-introduction produced by English learners at university level. According to Systemic Functional Linguistics (SFL), language is functional. Whether the learners are novices or proficient users, employ language as linguistic resources to make meanings. Moreover, social and cultural contexts play important roles when making choices among those linguistic resources. The study aims to determine what linguistic choices the English language learners make in order to make meanings in their writing. Following the SFL theoretical framework, the study looks at the English linguistic resources in terms of three metafunctions. For the ideational metafunction, the content words, prepositional phrases, and adverbial clauses are examined to see what the learners try to convey through the texts. For the interpersonal metafunction, verbial phrases are looked at to understand how the learners form the relationship with the reader through their linguistic choices. Furthermore, the thematic development of the texts is examined to see how the learners develop their introduction to perform the textual metafunction. The results of the study reveal that the English learners demonstrate a certain degree of limitations in utilizing the linguistic resources in terms of all three metafunctions. - COLLAPSE

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February 2021
Research Article

Technical Vocabulary in Computer Science Research Articles: A Corpus-based Study
컴퓨터 공학 분야 영어 학술 논문의 전문 어휘 분석: 코퍼스 기반 연구

Lee, Je-Young and Lee, Hye Jin
이제영, 이혜진

Computer science is a fast-moving and must-learn discipline, with a high lexical density of conceptually- demanding technical vocabulary. This study seeks to ... + READ MORE

Computer science is a fast-moving and must-learn discipline, with a high lexical density of conceptually- demanding technical vocabulary. This study seeks to identify technical vocabulary used within the discipline of computer science through the corpus-based methodology. A specialized corpus of 135 research articles in computer science was built, comprised of 1,260,460 running words and for the analysis, AntWordProfiler was utilized. The corpus-driven analysis demonstrated that the GSL accounted for 71%. GSL and AWL’s combination achieved 83.1% of the computer science corpus, less than the 95% lexical threshold suggested for optimal comprehension. These results highlight the need for a mastery of technical lexis in computer science, which was found to be technical; a total of 545 field-oriented technical words were identified. - COLLAPSE

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February 2021
Research Article

A Study of the Necessity for the Revision of Maxims of Conversation - Through the Case Study of the University Students’ Embarrassing Conversation-
대화의 격률에 대한 수정의 필요성 연구 - 대학생들의 당혹스러운 대화 사례 연구를 통하여 -

Lee, Chang-hak
이창학

This study suggests the revision of maxims of conversation by analyzing the questionnaire about the university students’ unpleasant conversation. The violation of ... + READ MORE

This study suggests the revision of maxims of conversation by analyzing the questionnaire about the university students’ unpleasant conversation. The violation of maxims of conversation is widespread all around the university campus and even in class there have been lots of embarrassing communication between students and professors. As a result of questionnaire investigation, this study needs to revise the maxims of conversation to explain the various cases that we can not analyze with the present maxims of conversation. To do that, this study suggested an interactional language function that emphasizes social relationships and focuses on the person rather than on the information. Moreover, my final suggestion is that professors should explain maxims of conversation on the first day of class and prevent the unpleasant conversational situations in advance that may occur afterward in a class. - COLLAPSE

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February 2021
Research Article

Time to Rethink the Nature of Explicature from the Intercultural Pragmatic Perspective
외축 도출과정의 재 고찰: 문화 간 화용론적 관점에서

Chong, Hyein and Han, Chun-Young
정혜인, 한천영

The first step of understanding speaker’s utterance is to comprehend what the speaker explicitly said. Just decoding linguistic elements has not ... + READ MORE

The first step of understanding speaker’s utterance is to comprehend what the speaker explicitly said. Just decoding linguistic elements has not been considered enough to understand the explicit meaning of utterances fully. The relevance theoretic term explicature sheds light on the way we interpret the explicit meaning of the speaker. In situations where speakers from different cultures communicate in a common language, deriving explicatures becomes more crucial and challenging. However, explicature is criticized that it appears to be hearer-centered by intercultural pragmatists. This paper aims to stipulate the nature of intermediate level of explicit meaning and then try to broaden the concept of explicature to ensure that hearers consider the speaker’s intersubjectivity and egocentrism in the process of explicature derivation. - COLLAPSE

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February 2021
Research Article

A Hybrid Feature-based Sentiment Analysis Platform Based on DECO-Dependency Parser and LSTM
DECO 언어자원ㆍ의존 파서와 LSTM에 기반한 하이브리드 자질기반 감성분석 플랫폼 연구

Hwang, Chang-Hoe, Yoo, Gwang-Hoon and Nam, Jee-Sun
황창회, 유광훈, 남지순

This study introduces the implementation of the DecoFESA platform, which proposes a hybrid approach to FbSA (Feature-based Sentiment Analysis) using the DECO-LGGs ... + READ MORE

This study introduces the implementation of the DecoFESA platform, which proposes a hybrid approach to FbSA (Feature-based Sentiment Analysis) using the DECO-LGGs (Local Grammar Graphs based on DECO dictionary) assigned with dependency parsing and LSTM (Long Short-Term Memory). DecoFESA is developed to leverage DECO-LGG linguistic resources and NLP_HUB dependency parser to process semantic information and analyze sentence structures for Target, Feature, and Sentiment detection at sentence level. It also uses of one of the efficient deep learning algorithms, LSTM, to classify sentiments of OOV (Out of Vocabulary) texts. For the performance evaluation, we scraped 1,500,000 cosmetics reviews of online shopping malls by a crawler. DecoFESA shows the overall robust performance: 0.95 and 0.80 f-measure for POSITIVE and NEGATIVE with 0.845 and 0.83 accuracies for Target and Feature extraction, which manifests the efficiency and practicality of the hybrid approach to FbSA utilizing extensive DECO-LGG linguistic resources collaborated with dependency parsing and LSTM. - COLLAPSE

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February 2021
Research Article

Licensing Conditions for VP Ellipsis: Multiple Sites Approach

Cho, Keeseok

This article aims to discuss the ellipsis of the verb phrase in English and come up with new general licensing conditions under ... + READ MORE

This article aims to discuss the ellipsis of the verb phrase in English and come up with new general licensing conditions under the framework of Chomsky (2013). The licensing conditions put forth in this study will account for English VP ellipsis in terms of a new alternative syntactic structure. The new alternative syntactic structure replaces Chomsky (2001)’s double verb phrase vP with four basic syntactic elements, such as Link, Perfect Aspect, Progressive Aspect, and V-v amalgam. The four basic syntactic elements are syntactic positions that accommodate relevant verbal lexical items. The general licensing conditions for the ellipsis of the verb phrase are: (i) The VP ellipsis elides the minimum of the progressive aspect phrase and elides the maximum of the perfect aspect phrase; (ii) The elided verbs and the antecedent verbs should be in the same type of syntactic positions to satisfy the identity conditions between the elided verbs and the antecedent verbs. - COLLAPSE

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February 2021
Research Article

English [V NP into V-ing] Construction: A Resultative Analysis

Yook, Cheongmin and Kim, Yanghee

The purpose of this paper is to examine English [V NP into V-ing] constructions. This construction shares quite a few properties ... + READ MORE

The purpose of this paper is to examine English [V NP into V-ing] constructions. This construction shares quite a few properties with causative sentences. For example, both are to express transitivity relationship such as [cause X to do Y] between the participants. However, corpus data suggest that this transitivity relationship may not be established in some cases (e.g., idiomatic expressions) simply because there is no X to be posited. As an alternative analysis, this paper proposes a resultative construction analysis. In this analysis, the participant X in the form of [cause X to do Y] does not pose any problem because what is important in this analysis is the end-point result. All cases of [V NP into V-ing] investigated in this paper fall out under the presented analysis. - COLLAPSE

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February 2021