7 citations · 14 across the 19 of their papers we have counts for
5 papers · 1 filter
KurdSTS: The Kurdish Semantic Textual Similarity
Abdulhady Abas Abdullah, Hadi Veisi, Hussein M. Al
Semantic Textual Similarity (STS) measures the degree of meaning overlap between two texts and underpins many NLP tasks. While extensive resources exist for high-resource languages…
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
Kozhin muhealddin Awlla, Hadi Veisi, Abdulhady Abas Abdullah
This paper enhances the study of sentiment analysis for the Central Kurdish language by integrating the Bidirectional Encoder Representations from Transformers (BERT) into Natural…
The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages
Abdulhady Abas Abdullah, Amir H. Gandomi, Tarik A Rashid +4
In natural language processing, multilingual models like mBERT and XLM-RoBERTa promise broad coverage but often struggle with languages that share a script yet differ in orthograph…
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
Abdulhady Abas Abdullah, Srwa Hasan Abdulla, Dalia Mohammad Toufiq +8
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NE…
Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach
Abdulhady Abas Abdullah, Sabat Salih Muhamad, Hadi Veisi
The ability to synthesize spoken language from text has greatly facilitated access to digital content with the advances in text-to-speech technology. However, effective TTS develop…