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CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Texts
In order to address word level LI in code-mixed Kannada-English (Kn-En) texts, this work presents i) the construction of code-mixed Kn-En dataset called CoLI-Kenglish dataset, ii) code-mixed Kn-En embedding and iii) learning models using Machine Learning (ML), Deep Learning (DL) and Transfer Learning (TL) approaches.
Machine Learning Approaches for Amharic Parts-of-speech Tagging
Part-of-speech (POS) tagging is considered as one of the basic but necessary tools which are required for many Natural Language Processing (NLP) applications such as word sense disambiguation, information retrieval, information processing, parsing, question answering, and machine translation.
Amharic-Arabic Neural Machine Translation
Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.
Improving Multi-Word Entity Recognition for Biomedical Texts
The proposed SR model, FROBES, improves the representation of multi-word entities.
