Aims and Scope
The Journal of Advanced Corpus-Oriented Research (JACOR) aims to foster high-quality research in corpus linguistics and its allied disciplines, offering a dedicated platform for the exploration of language through empirical, data-driven, and computational methods. The journal is committed to advancing theoretical, methodological, and applied aspects of corpus-based research, and encourages interdisciplinary approaches that bridge linguistics with technology, education, and the digital humanities.
Aims:
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To promote innovative research in corpus linguistics, computational linguistics, and natural language processing.
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To encourage the development and application of corpus tools and technologies in linguistic inquiry.
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To support the integration of artificial intelligence and machine learning in corpus analysis.
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To contribute to language teaching and learning through corpus-based pedagogical approaches.
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To provide a forum for emerging scholars, especially from underrepresented linguistic and regional backgrounds.
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To disseminate knowledge that enhances the study of language variation, change, and use in diverse contexts.
Scope:
JACOR welcomes contributions that include, but are not limited to:
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Corpus Linguistics: corpus design, annotation, analysis, multimodal corpora, lexicography, sociolinguistic and historical studies using corpora.
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Computational Linguistics: tool development, computational morphology, semantic processing, and cross-linguistic analysis using corpora.
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Natural Language Processing (NLP): applications in sentiment analysis, speech processing, low-resource languages, and AI-based linguistic modeling.
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Language Teaching and Digital Humanities: corpus-assisted pedagogy, educational technologies, and digital methodologies for language research.
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AI in Linguistic Research: implementation of large language models, neural machine translation, and ethical issues surrounding AI in language studies.
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General and Applied Linguistics: discourse analysis, pragmatics, forensic linguistics, translation studies, and language policy explored through corpus methods.