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SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Neural Information Processing SystemsAudio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from generative AI models. Existing ADD models suffer from generalization issues, with a large performance discrepancy between in-domain and out-of-domain data. Moreover,
Yi Zhu +3 more
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Linguistic Features of the Oral Narratives [PDF]
, 2014 We previously discussed how sociolinguistic variables and topic can affect the way a person speaks, narrates and interacts with other speakers. Undoubtedly, there are devices typical of all narrative genres and narrations, but there are nonetheless genre-specific ones.
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Linguistic Features of the Language of Schooling [PDF]
Linguistics and Education, 2001 Abstract This article provides an analysis of some linguistic features of school-based texts, relating the grammatical and lexical choices of the speaker/writer to the functions that language performs in school contexts. Broadly speaking, the context of schooling requires that students read and write texts that present information authoritatively in ...
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FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis
International Conference on Language Resources and EvaluationMulti-domain aspect-based sentiment analysis (ABSA) seeks to capture fine-grained sentiment across diverse domains. While existing research narrowly focuses on single-domain applications constrained by methodological limitations and data scarcity, the ...
Songhua Yang +5 more
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HFD: Hierarchical feature decoupling for SQL generation from text
Intelligent Data AnalysisText-to-SQL, a computational linguistics task, seeks to facilitate the conversion of natural language queries into SQL queries. Recent methodologies have leveraged the concept of slot-filling in conjunction with predetermined SQL templates to effectively
Xu Zhang +4 more
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Features of Linguistic Threshold Schemes
2013In the discussion of strategic data splitting and sharing algorithms it has become necessary to embed linguistic algorithms of information splitting and data reconstruction in the solutions presented in this publication. The essence of this approach, representing an interdisciplinary topic straddling the border between the subjects of commercial ...
Marek R. Ogiela, Urszula Ogiela
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Programming for Corpus Linguistics with Python and Dataframes
This Element offers intermediate or experienced programmers algorithms for Corpus Linguistic (CL) programming in the Python language using dataframes that provide a fast, efficient, intuitive set of methods for working with large, complex datasets such ...
Daniel Keller
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Linguistic Features of Writing Quality
Written Communication, 2009In this study, a corpus of expert-graded essays, based on a standardized scoring rubric, is computationally evaluated so as to distinguish the differences between those essays that were rated as high and those rated as low. The automated tool, Coh-Metrix, is used to examine the degree to which high- and low-proficiency essays can be predicted by ...
Danielle S. McNamara +2 more
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Linguistic Feature-Based Measures
2016This chapter discusses methods for cognitive load examination via language and shows that many features, some of which were originally designed to examine language complexity for learning analytics or comprehension, can be successfully applied to the cognitive load research.
Ahmad Khawaji +6 more
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Linguistic features of Cyberbullying
Proceedings of The International Conference on Advanced Research in Social Sciences, 2019Shahidatul Maslina Mat So’od. +2 more
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