Automatic Identification of Arabic expressions related to future events in Lebanon's economy
Autor: | Al-Hajj, Moustafa, Sabra, Amani |
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Rok vydání: | 2018 |
Předmět: | |
Zdroj: | International Journal of Science and Research (IJSR), https://www.ijsr.net/archive/v7i4/ART20182042.pdf, Volume 7 Issue 4, April 2018, 1656 - 1660 |
Druh dokumentu: | Working Paper |
DOI: | 10.21275/ART20182042 |
Popis: | In this paper, we propose a method to automatically identify future events in Lebanon's economy from Arabic texts. Challenges are threefold: first, we need to build a corpus of Arabic texts that covers Lebanon's economy; second, we need to study how future events are expressed linguistically in these texts; and third, we need to automatically identify the relevant textual segments accordingly. We will validate this method on a constructed corpus form the web and show that it has very promising results. To do so, we will be using SLCSAS, a system for semantic analysis, based on the Contextual Explorer method, and "AlKhalil Morpho Sys" system for morpho-syntactic analysis. Comment: 5 pages |
Databáze: | arXiv |
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