| publication name | BoNC: Bag of N-Characters Model for Word Level Language Identification |
|---|---|
| Authors | Shimaa Ismail, Mai K. Gallab, Hamada Nayel |
| year | 2022 |
| keywords | |
| journal | |
| 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 | https://aclanthology.org/2022.icon-wlli.7 |
| Full paper | download |
| 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.