The Role of Typological Feature Prediction in NLP and Linguistics [PDF]
Computational Linguistics, 2023 Computational typology has gained traction in the field of Natural Language Processing (NLP) in recent years, as evidenced by the increasing number of papers on the topic and the establishment of a Special Interest Group on the topic (SIGTYP), including ...
Johannes Bjerva
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HSI-LFS-BERT: Novel Hybrid Swarm Intelligence Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer’s Prediction Using Audio Transcript [PDF]
IEEE Access, 2022 Alzheimer’s dementia (AD) affects memory, language, and cognition and worsens over time. Therefore, it is critical to develop a reliable method for early detection of permanent brain atrophy and cognitive impairment. This study used clinical transcripts,
Yusera Farooq Khan +3 more
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The Performance of Topic Evolution Based on a Feature Maximization Measurement for the Linguistics Domain [PDF]
Axioms, 2022 Understanding the performance of the data mining approach and topic evolution in a certain scientific domain is imperative to capturing key domain developments and facilitating knowledge transfer within and across domains.
Junchao Feng +4 more
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English Linguistics Theory for subtype complementary feature in comparison to Javanese Linguistics
AMCA Journal of Community Development, 2022 Dixon is one of the most influential linguists in English Language Studies that proposed the idea of semantic approach in English grammatical analysis.
Putri Maharani +2 more
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Linguistic Features for Readability Assessment [PDF]
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020 Readability assessment aims to automatically classify text by the level appropriate for learning readers. Traditional approaches to this task utilize a variety of linguistically motivated features paired with simple machine learning models. More recent methods have improved performance by discarding these features and utilizing deep learning models ...
Tovly Deutsch +2 more
arxiv +5 more sources
A New Method for Stance Detection Based on Feature Selection Techniques and Ensembles of Classifiers
IEEE Access, 2021 Stance detection is one of the promising areas of computational linguistics, the task of which is to automatically recognize the author’s viewpoint on the target object.
Sergey Vychegzhanin, Evgeny Kotelnikov
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LFTK: Handcrafted Features in Computational Linguistics [PDF]
Workshop on Innovative Use of NLP for Building Educational Applications, 2023 Past research has identified a rich set of handcrafted linguistic features that can potentially assist various tasks. However, their extensive number makes it difficult to effectively select and utilize existing handcrafted features.
Bruce W. Lee, J. Lee
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Language Acquisition and Chinese Language Programs: An Interview with Boping Yuan [PDF]
International Journal of Chinese Language Teaching, 2021 This is an interview with Dr. Boping Yuan, Reader in Chinese Language and Linguistics at Cambridge University, UK and professor of linguistics and applied linguistics at Shanghai Jiao Tong University, China. In this interview, Dr.
Peng Zhang
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Rhetorical Functions in English Review Articles’ Conclusions [PDF]
Journal of Language Horizons, 2023 Genre analysis studies have refined our understanding of the rhetorical organization of scientific articles. The present paper reports on a study which investigated the rhetorical organization of the conclusion section of English conceptual review ...
Javad Zare, Zohreh Sadat Naseri
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