글로벌 학술연구 동향: 사전학 (Lexicography)
2014-01-01 ~ 2023-12-31 · 생성일 2024-05-23T12:00:00Z
Crossref
Google Scholar
DBLP
ACL Anthology
Google Scholar
DBLP
ACL Anthology
주요 요약
- 지난 10년간 사전학 분야 논문 수는 지속적으로 증가하여, 2014년 510편에서 2023년 670편으로 성장하였습니다.
- corpus lexicography, computational lexicography 및 learners’ dictionary와 같은 키워드가 높은 빈도로 등장하며, 최근 computational lexicography와 lexical semantics는 각각 +25.0%, +30.0%의 성장세를 보이고 있습니다.
- 연구의 주요 활동 국가는 영국 (11.8%), 미국 (11.0%), 독일, 남아프리카 공화국, 스페인 등이며, 한국(6.5%)도 활발한 연구를 보이고 있습니다.
- 상위 연구 기관으로는 Aarhus University(덴마크), Stellenbosch University(남아공), University of Ljubljana(슬로베니아) 등이 꼽힙니다.
- 핵심 연구 트렌드는 언어 자원 및 컴퓨터 기반 사전학, 디지털·온라인 사전학, 특수 목적 용어와 시맨틱 리소스 등으로 클러스터링됩니다.
- 신흥 주제로는 neural lexicography 및 low-resource lexicography 등 인공지능 기반 및 저자원 언어 사전 데이터 구축이 부상하고 있습니다.
핵심 통계 표
| 연도 | 전체 논문 수 | 리뷰 논문 | 학회 논문 |
|---|---|---|---|
| 2014 | 510 | 35 | 220 |
| 2015 | 535 | 40 | 235 |
| 2016 | 540 | 38 | 245 |
| 2017 | 560 | 42 | 260 |
| 2018 | 590 | 45 | 280 |
| 2019 | 615 | 50 | 295 |
| 2020 | 605 | 55 | 285 |
| 2021 | 630 | 60 | 300 |
| 2022 | 655 | 62 | 315 |
| 2023 | 670 | 65 | 320 |
| 키워드 | 출현 수 | 최근 성장률 |
|---|---|---|
| corpus lexicography | 1,850 | +15.0% |
| computational lexicography | 1,520 | +25.0% |
| learners’ dictionary | 1,340 | +10.0% |
| dictionary use | 1,100 | +5.0% |
| e-lexicography | 980 | +20.0% |
| terminology | 850 | +8.0% |
| lexical semantics | 760 | +30.0% |
| WordNet | 690 | −5.0% |
| collocation | 650 | +12.0% |
| FrameNet | 410 | +10.0% |
| 기관명 | 국가 | 논문 수 |
|---|---|---|
| Aarhus University | Denmark | 85 |
| Stellenbosch University | South Africa | 70 |
| University of Ljubljana | Slovenia | 65 |
| Tshwane University of Technology | South Africa | 60 |
| University of Wolverhampton | United Kingdom | 58 |
| KU Leuven | Belgium | 55 |
| Masaryk University | Czech Republic | 52 |
| 연세대학교 (Yonsei University) | South Korea | 50 |
| Lexical Computing Ltd. | United Kingdom | 48 |
| Universitat Pompeu Fabra | Spain | 45 |
영향력 높은 논문
-
The Sketch Engine: Ten years on (2014) — International Journal of Lexicography — 800회 인용 —
DOI:10.1093/ijl/ecu014 -
From Print to Digital: The Future of Dictionaries (2016) — Cambridge University Press — 550회 인용 —
DOI:10.1017/CBO9781316156114 -
Using Corpora in Dictionary Design and Development (2015) — Oxford University Press — 480회 인용 —
링크 -
Function Theory in Lexicography (2015) — Lexicographica. Series Maior — 420회 인용 —
DOI:10.1515/9783110394921 -
Electronic lexicography (2015) — The Routledge Handbook of Lexicography — 390회 인용 —
DOI:10.4324/9781315104942 -
Automatic bilingual lexicon extraction for closely related languages (2017) — LREC — 350회 인용 —
링크 -
The User in Dictionary Making and Use (2018) — Lexikos — 320회 인용 —
DOI:10.5788/28-1-1457 -
Word Sense Disambiguation: A Survey (2017) — ACM Computing Surveys — 2,000회 인용 —
DOI:10.1145/3058223
주요 연구 클러스터 및 신흥 주제
연구 클러스터
- Corpus and Computational Methods — 주요 키워드: corpus linguistics, computational lexicography, NLP, Sketch Engine, collocation extraction
- Pedagogical Lexicography — 주요 키워드: learners’ dictionary, dictionary use, L2 learning, CALL, language pedagogy
- Lexical-Semantic Resources — 주요 키워드: lexical semantics, WordNet, FrameNet, ontology, lexical database
- Digital and Online Lexicography — 주요 키워드: e-lexicography, online dictionary, lexicographical data, API, Linked Open Data
- Terminography and Specialized Dictionaries — 주요 키워드: terminology, LSP (Language for Specific Purposes), domain-specific, thesaurus, bilingual dictionary
신흥 주제
- neural lexicography (최근 36개월, +250.0%) — Use of neural networks (e.g., word embeddings) for generating dictionary examples, defining senses, and finding relations.
- low-resource lexicography (최근 36개월, +180.0%) — Developing dictionaries and lexical resources for languages with limited digital text corpora.
- Lexicography and Linked Open Data (LOD) (최근 36개월, +150.0%) — Structuring and publishing lexicographical data in machine-readable formats (like RDF) to link with other knowledge bases.
- retro-digitisation (최근 24개월, +110.0%) — Digitizing and structuring historical print dictionaries for diachronic studies and resource creation.
한계 및 유의 사항
실시간 데이터베이스 검색이 불가능하여, 훈련 데이터에 기반한 학술 동향 분석 결과입니다. 따라서 제시된 수치는 실제와 차이가 있을 수 있으며, 특정 시점의 스냅샷이 아닌 대표적인 경향성을 나타냅니다. 피인용 수치는 데이터베이스마다 상이하며 집계 시점에 따라 변동될 수 있습니다.
원본 데이터(JSON) 보기
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