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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Natural Language Processing Research — IJACSA

IJACSA research on natural language processing — from foundational NLP techniques to applications such as depression detection in social media.

Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026

Evaluating Urdu to Arabic Machine Translation Tools

Vol. 8, Issue 10 (2017) · 4 citations

Machine translation is an active research domain in fields of artificial intelligence. The relevant literature presents a number of machine translation approaches for the translation of different languages. Urdu is the n…

A Proposed Adaptive Scheme for Arabic Part-of Speech Tagging

Vol. 8, Issue 7 (2017) · 1 citations

This paper presents an Arabic-compliant part-of-speech (POS) tagging scheme based on using atomic tag markers that are grouped together using brackets. This scheme promotes the speedy production of annotations while pres…

A Review on Urdu Language Parsing

Vol. 8, Issue 4 (2017) · 17 citations

Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of…

Context based Emotion Analyzer for Interactive Agent

Vol. 8, Issue 1 (2017) · 5 citations

Emotions can affect human’s performance in a considerable manner. These emotions can be articulated in many ways such as text, speech, facial expressions, gestures and postures. Humans in effect of their emotions, have a…

Stemmer Impact on Quranic Mobile Information Retrieval Performance

Vol. 7, Issue 12 (2016) · 9 citations

Stemming algorithms are employed in information retrieval (IR) to reduce verity variants of the same word with several endings to a standard stem. Stemmers can also help IR systems by unifying vocabulary, reducing term v…

A Topic based Approach for Sentiment Analysis on Twitter Data

Vol. 7, Issue 12 (2016) · 30 citations

Twitter has grown in popularity during the past decades. It is now used by millions of users who share information about their daily life and their feelings. In order to automatically process and analyze these data, appl…

Developing a Transition Parser for the Arabic Language

Vol. 7, Issue 9 (2016) · 3 citations

One of the most important Characteristics of the Arabic language is the exhaustive undertaking. Thus, analyzing Arabic sentences is difficult because of the length of sentences and the numerous structural complexities. T…