Complex Word Formation within Semantic Frameworks: A Research Trend Analysis
DOI:
https://doi.org/10.24235/ileal.v12i1.24070Keywords:
complex words, pedagogical implications, semantics, scientometrics, word formationAbstract
This study investigates trends and themes in research on complex word formation within a semantic framework, employing scientometric analysis of 507 documents extracted from Scopus spanning 2014 and 2024. Results reveal a growing body of literature, with a mean publication rate of 50 documents per year across the observed period. Marelli, M., Goddard, C. and Günther, F. emerge as prolific authors, while “Proceedings of the Annual Meeting of the Association for Computational Linguistics”, “Cognition” and “Brain and Language” lead in publication output. Specifically, keyword analysis identified six distinct thematic clusters: (1) “semantics” (40.96%) encompassing distributional semantics, knowledge representation, and language modelling; (2) “language” (28.92%), focusing on language processing and acquisition; (3) “morphology” (18.07%), highlighting morphological decomposition and experimental methodologies; (4) “word formation and related concepts” (9.64%), encompassing semantic relations, polysemy, and metaphor; (5) “compositionality and cognitive linguistics” (1.20%); and (6) “word-formation and corpus linguistics” (1.20%). To a certain extent, these findings underscore the nature of this field of inquiry and highlight the need for instructional approaches that explicitly address the semantic and morphological complexities of complex words.
Pembentukan Kata Kompleks dalam Kerangka Semantik: Analisis Tren Penelitian
Studi ini mengkaji tren dan tema penelitian mengenai pembentukan kata kompleks dalam kerangka teoretis semantik. Berbasis metode analisis saintometrik terhadap 507 dokumen yang diekstraksi dari Scopus (2014–2024), hasil analisis menunjukkan adanya pertumbuhan literatur yang signifikan, dengan rerata tingkat publikasi sebesar 50 dokumen per tahun sepanjang periode pengamatan. Marelli, M., Goddard, C., dan Günther, F. muncul sebagai penulis paling produktif, sementara Proceedings of the Annual Meeting of the Association for Computational Linguistics, Cognition, dan Brain and Language tercatat sebagai penerbit dengan luaran tertinggi. Secara khusus, analisis kata kunci mengidentifikasi enam klaster tematik yang berbeda, yakni: (1) semantics (40.96%) yang mencakup semantik distribusional, representasi pengetahuan, dan pemodelan bahasa; (2) language (28.92%) yang berfokus pada pemrosesan dan pemerolehan bahasa; (3) morphology (18.07%) yang menyoroti dekomposisi morfologis dan metodologi eksperimental; (4) word formation and related concepts (9.64%) yang meliputi relasi semantik, polisemi, dan metafora; (5) compositionality and cognitive linguistics (1.20%); serta (6) word-formation and corpus linguistics (1.20%). Dalam konteks terbatas, temuan-temuan ini mengimplikasikan karakteristik medan kajian pembentukan kata kompleks dan menggarisbawahi kebutuhan akan pendekatan pembelajaran yang secara eksplisit menangani kompleksitas semantik dan morfologis kata-kata kompleks.
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