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DOI: 10.14569/IJACSA.2021.0121295
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A Language Tutoring Tool based on AI and Paraphrase Detection

Author 1: Anas Basalamah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.

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Abstract: A language tutoring tool (LTT) helps learning a language through casual human-like conversations. Natural language understanding (NLU) and natural language generation (NLG) are two key components of an LTT. In this paper, we propose a paraphrase detection algorithm that is used as the building block of the NLU. Our proposed tree-LSTM with a self-attention method for paraphrase detection shows accuracy of 87% with a lower parameter of 6.5m, which is much robust and lighter than the other existing paraphrase detection algorithms. Furthermore, we discuss an LTT prototype using the proposed algorithm with having some featured components like- message analysis, grammar detection, dialogue management, and response generation component. Each component is discussed in detail in the methodology section of this paper.

Keywords: LTT; NLG; NLU; paraphrase detection; LSTM

Anas Basalamah, “A Language Tutoring Tool based on AI and Paraphrase Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121295

@article{Basalamah2021,
title = {A Language Tutoring Tool based on AI and Paraphrase Detection},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121295},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121295},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Anas Basalamah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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