Arabic Word Sense Disambiguation - Survey

Alian, Marwah; Awajan, Arafat Awajan; Alkouz, Akram

doi:10.1109/ictcs.2017.23

Cited by 11 publications

(2 citation statements)

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“…They have used genetic algorithms to solve word sense disambiguation problem. They tested their approach using a sample text in Arabic then they compared with naïve Bayes classifier [6].…”

Section: Word Sense Disambiguation: State Of the Artmentioning

confidence: 99%

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A Framework for the Construction of a Historical Dictionary for Arabic

Laatar¹,

Aloulou²,

Belguith³

2019

RCS

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Arabic is one of the oldest Semitic languages in the world. But despite its rich historical heritage, Arabic is still bereft of a historical dictionary which traces the first use of its words and the evolution of their meanings and structures. Therefore, creating such a dictionary is of a great importance for the Arab world as it bridges the gap between its present and its past. This task should undergo several stages and requires a lot of effort. In this paper, we present our framework to help the linguists create a historical dictionary for Arabic. For this aim, we propose a platform which helps to trace the evolution of the meanings of a given word throughout time. The developed system allows the user to extract the meaning of an Arabic word according to the historical period in which it appeared. It also provides information about the oldest date of use of the word with a textual example in which it first appeared, and the first place where the word was used.

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“…They have used genetic algorithms to solve word sense disambiguation problem. They tested their approach using a sample text in Arabic then they compared with naïve Bayes classifier [6].…”

Section: Word Sense Disambiguation: State Of the Artmentioning

confidence: 99%

“…The method proposed by Zouaghi et al [31] is a hybrid method that combines unsupervised and knowledge based methods. They have used a context Matching algorithm that measures the similarity between the contexts of use corresponding to the glosses of the target word and the original sentence [6].…”

Section: Word Sense Disambiguation: State Of the Artmentioning

confidence: 99%