Print Email Facebook Twitter It sounds like Greek to me Title It sounds like Greek to me: Performance of phonetic representations for language identification Author IJpma, Johannes (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Intelligent Systems) Contributor Viering, T.J. (mentor) Loog, M. (graduation committee) Makrodimitris, S. (mentor) Naseri Jahfari, A. (mentor) Oertel, Catharine (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract This paper compares the performance of two phonetic notations, IPA and ASJPcode, with the alphabetical notation for word-level language identification. Two machine learning models, a Multilayer Percerptron and a Logistic Regression model, are used to classify words using each of the three notations. With both models the IPA notation outperforms the other two notations. Subject IPAASJPLanguage Identification To reference this document use: http://resolver.tudelft.nl/uuid:628c185a-a7ca-4e79-b0f5-28e9c4795e9b Part of collection Student theses Document type bachelor thesis Rights © 2021 Johannes IJpma Files PDF Research_Project_Johannes ... pma_2_.pdf 690.8 KB Close viewer /islandora/object/uuid:628c185a-a7ca-4e79-b0f5-28e9c4795e9b/datastream/OBJ/view