Pemetaan Bibliometrik Penelitian Global tentang Corpus Linguistics
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Abstract
Penelitian ini bertujuan memetakan lanskap penelitian global di bidang corpus linguistics dengan menggunakan pendekatan bibliometrik berbasis data dari basis data Scopus. Analisis dilakukan terhadap publikasi periode 2000–2025 dengan fokus pada tren publikasi, kolaborasi internasional, kata kunci dominan, dan keterkaitan tematik. Data dianalisis menggunakan perangkat lunak VOSviewer dan Bibliometrix untuk menghasilkan visualisasi jejaring co-authorship, co-occurrence, dan co-citation. Hasil penelitian menunjukkan bahwa corpus linguistics berada pada pusat interaksi antara linguistik tradisional dan teknologi komputasional, dengan keterkaitan kuat terhadap natural language processing systems, semantics, deep learning, dan large language models. Selain itu, topik seperti low resource languages, contrastive learning, dan speech recognition muncul sebagai bidang yang tengah berkembang dan berpotensi menjadi fokus utama riset di masa depan. Temuan ini memberikan implikasi praktis bagi peneliti, industri teknologi bahasa, dan pembuat kebijakan, serta kontribusi teoritis dalam memperluas pemahaman corpus linguistics sebagai bidang interdisipliner yang dinamis.
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