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Dr. Shimaa Ismail Mohamed Mustafa :: Publications: |
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| Title: | BoNC: Bag of N-Characters Model for Word Level Language Identification |
| Authors: | Shimaa Ismail, Mai K. Gallab, Hamada Nayel |
| Year: | 2022 |
| Keywords: | Not Available |
| Journal: | Not Available |
| Volume: | Proceedings of the 19th International Conference on Natural Language Processing (ICON): Shared Task on Word Level Language Identification in Code-mixed Kannada-English Texts |
| Issue: | Not Available |
| Pages: | 34–37 |
| Publisher: | Association for Computational Linguistics |
| Local/International: | International |
| Paper Link: | |
| Full paper | Shimaa Ismail Mohamed Mustafa_2022.icon-wlli.7.pdf |
| Supplementary materials | Not Available |
| Abstract: |
This paper describes the model submitted by NLP_BFCAI team for Kanglish shared task held at ICON 2022. The proposed model used a very simple approach based on the word representation. Simple machine learning classification algorithms, Random Forests, Support Vector Machines, Stochastic Gradient Descent and Multi-Layer Perceptron have been imple- mented. Our submission, RF, securely ranked fifth among all other submissions. |
