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- W2886769229 abstract "The automatic text summarisation is a challenging task. Existing techniques suffer from inadequate investigation for Arabic text. The majority of Arabic words are derived according to the morphology that is more complicated than English and other natural languages. The approach reported in this paper elaborates a morphological analysis to develop a new automatic Arabic text summarisation. The proposed approach is based on three main phases: the text tokenization phase, the trilateral root extraction phase and the aggregate similarity computation phase. The proposed approach has been extensively experimented on samples from the benchmark datasets of Essex Arabic summaries corpus (EASC). Experimental results show the ability of the proposed system to extract relevant sentences that reflects the summary of Arabic text, as well as a comparable performance with other reported techniques in the literature." @default.
- W2886769229 created "2018-08-22" @default.
- W2886769229 creator A5066461201 @default.
- W2886769229 date "2018-01-01" @default.
- W2886769229 modified "2023-09-26" @default.
- W2886769229 title "Automatic Arabic text summarisation system (AATSS) based on morphological analysis" @default.
- W2886769229 doi "https://doi.org/10.1504/ijista.2018.10015230" @default.
- W2886769229 hasPublicationYear "2018" @default.
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