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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 | IJACSA

Natural language processing (NLP) is the field of computer science focused on enabling computers to understand, interpret, and generate human language. Core tasks include tokenization, part-of-speech tagging, syntactic parsing, named entity recognition, machine translation, text summarization, question answering, and sentiment analysis. Early NLP systems relied on rule-based grammars and statistical language models; current approaches are dominated by transformer-based architectures and large language models pretrained on extensive text corpora and fine-tuned for specific tasks. Active research increasingly targets efficient attention mechanisms, including linear and sparse attention, to reduce the heavy compute and memory costs of standard transformers, alongside work on multilingual and low-resource languages, model bias, and factual reliability in generated text. Applications include chatbots and virtual assistants, automated document analysis, information extraction from unstructured text, and cross-lingual translation systems. As an open-access natural language processing journal (an NLP journal), IJACSA publishes research on language models and applied systems evaluated across multiple languages and domain-specific text corpora.

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

JWOLF: Java Free French Wordnet Library

Vol. 10, Issue 2 (2019) · 2 citations

The electronic lexical databases WordNets, have become essential for many computer applications, especially in linguistic research. Free French WordNet is an XML lexical database for French language based on Princeton Wo…

Conditional Text Paraphrasing: A Survey and Taxonomy

Vol. 9, Issue 11 (2018)

This work introduces a survey for the Text Para-phrasing task. The survey covers the different types of tasks around text paraphrasing and mentions the techniques and models that are regularly used when approaching towar…

NADA: New Arabic Dataset for Text Classification

Vol. 9, Issue 9 (2018) · 26 citations

In the recent years, Arabic Natural Language Processing, including Text summarization, Text simplification, Text Categorization and other Natural Language-related disciplines, are attracting more researchers. Appropriate…