Word sense disambiguation for Arabic text using Wikipedia and Vector Space Model

In this research we introduce a new approach for Arabic word sense disambiguation by utilizing Wikipedia as a lexical resource for disambiguation. The nearest sense for an ambiguous word is selected using Vector Space Model as a representation and cosine similarity between the word context and the r...

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Veröffentlicht in:	International journal of speech technology 2016-12, Vol.19 (4), p.857-867
Hauptverfasser:	Alian, Marwah, Awajan, Arafat, Al-Kouz, Akram
Format:	Artikel
Sprache:	eng
Schlagworte:	Arabic language Artificial Intelligence Engineering English language Experiments Representations Sentences Signal,Image and Speech Processing Similarity Social Sciences Speech Texts Vector space Vector spaces Word sense disambiguation
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