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Here I investigated how NLP and Machine Learning can be used to aid linguistic research in Second Language Acquisition and detecting language transfer effects. This is tackled using large-scale learner data to identify common error types or omissions made by non-native speakers and idiosyncratic constructions associated with particular linguistic backgrounds. NLI can also be used for Authorship Profiling and Identification in the context of Forensic Linguistics. It can provide evidence about a writer's linguistic background in situations where a text, like an anonymous letter, is the key piece of evidence in an investigation.
More broadly, my research interests include machine learning, NLP, data mining, information extraction, forensic linguistics, language learning, automated language assessment, language transfer, language identification and computer vision.
研究兴趣
论文共 107 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2024): 59-67
European Conference on Information Retrievalpp.415-432, (2024)
CoRR (2024): 415-432
Shervin Malmasi,Besnik Fetahu,Eugene Agichtein,Oleg Rokhlenko,Ido Guy, Nicola Ueffing,Surya Kallumadi
KDDpp.5872-5873, (2023)
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PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023pp.3476-3478, (2023)
CoRR (2023): 663-674
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