Transferring Informal Text in Arabic as Low Resource Languages: State-of-the-Art and Future Research Directions

Author:

Almansor Ebtesam H.,Al-Ani Ahmed,Hussain Farookh Khadeer

Publisher

Springer International Publishing

Reference77 articles.

1. Han, B.: Improving the utility of social media with natural language processing. Ph.D. thesis, University of Melbourne, Department of Computing and Information Systems (2014)

2. Almansor, E.H.: Translating Arabic as low resource language using distribution representation and neural machine translation models. Ph.D. thesis (2018)

3. Hidayatullah, A.F.: Language tweet characteristics of Indonesian citizens. In: 2015 International Conference on Science and Technology (TICST), pp. 397–401. IEEE (2015)

4. Ghareb, A.S., Hamdan, A.R., Bakar, A.A., Yaakub, M.R.: Hybrid statistical rule-based classifier for Arabic text mining. J. Theoret. Appl. Inf. Technol. 71(2) (2015)

5. Shaalan, K., Bakr, H., Ziedan, I.: Transferring Egyptian colloquial dialect into modern standard Arabic. In: International Conference on Recent Advances in Natural Language Processing (RANLP–2007), Borovets, Bulgaria, pp. 525–529 (2007)

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