Arabic language processing works on multiple levels; less often, these complementary
levels synergize well with each other. Arabic Language Sentiment Analysis (ALSA) levels …

Research into statistical parsing for English has enjoyed over a decade of successful results.
However, adapting these models to other languages has met with difficulties. Previous …

Large pre-trained language models, such as BERT, have recently achieved state-of-the-art
performance in different natural language processing tasks. However, BERT based models …

Segmentation plays a crucial role in speech processing applications, where high accuracy is
essential. The quest for improved accuracy in automatic segmentation, particularly in the …

Part-of-speech (POS) tagging is the process of selecting an appropriate POS tag for each
word in a natural language sentence. POS tagging is a vital part of most natural language …

Understanding the topics of Quran verses is considered as a main interest of Islamic
Scholars, specialists of Quran studies and others. The traditional classification of Quran …

This paper describes how a simple novel Galois Power-of-Two (GPOW2) real-time
embedding scheme is used to improve the performance and accuracy of downstream NLP …

Part of Speech (POS) tagging is one of the most common techniques used in natural
language processing (NLP) applications and corpus linguistics. Various POS tagging tools …

Part of speech (POS) tagging is an indispensable part of major NLP models. Its progress can
be perceived on number of languages around the globe especially with respect to European …

Religious texts are known to be with specific patterns of writing, and also involve specific
vocabularies. These are also known to follow specific style of writing. Thereby these texts …