Title | ||
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Word Sense Disambiguation using Skip Gram Model to Create a Historical Dictionary for Arabic |
Abstract | ||
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The evolution of the Arabic language from antiquity to the present days has given birth to several linguistic registers ascribed to the great periods of the history of the Arabic language. They can be classified as: Old Arabic, Classical Arabic and Modern Standard Arabic. In this work, we propose a method that aims to disambiguate words in Modern Standard Arabic. This method consists of measuring the semantic relation between the context of use of the ambiguous word and its sense definitions. Within the context of creating a historical dictionary for Arabic, and to disambiguate a word, we need to take into consideration the historical period in which the word appeared. This method disambiguates Arabic words takes into account that a word may have an old meaning but appears in a modern document. |
Year | DOI | Venue |
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2018 | 10.1109/AICCSA.2018.8612778 | 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA) |
Keywords | Field | DocType |
Historical Dictionary,Word Sense Disambiguation,Modern Standard Arabic,Word Embedding,Natural Language Processing (NLP) | Classical Arabic,Arabic,Computer science,Computer network,Modern Standard Arabic,Semantic relation,Artificial intelligence,Natural language processing,Word-sense disambiguation,Semantics | Conference |
ISSN | ISBN | Citations |
2161-5322 | 978-1-5386-9121-2 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rim Laatar | 1 | 0 | 1.35 |
Chafik ALOULOU | 2 | 4 | 6.77 |
lamia hadrich belguith | 3 | 143 | 42.13 |