#transformers

Morphology in NLP: From Language Families to Subword Algorithms

2026-05-23

#NLP #Morphology #Tokenization #Low-Resource Languages #Transformers

A deep dive into how the morphological structure of human languages shapes the design of NLP systems — from classical rule-based methods to BPE and the frontiers of morphology-aware LLMs.

Arabic Sentiment Analysis with Transformers

#NLP #Transformers #Hugging Face #Sentiment Analysis #Python

Transformer-based sentiment classification for Arabic text (MSA and dialectal), built at CERIST using BERT and AraBERT.

Intent Detection in Arabic

#NLP #Intent Detection #Arabic #Transformers #Python

Intent classification for Arabic conversational text, supporting downstream applications like chatbots and voice assistants.

Multilingual Sentiment Analysis

#NLP #Multilingual #Sentiment Analysis #Transformers #Python

Sentiment classification models generalized across multiple languages, extending Arabic-focused work to a broader multilingual setting at CERIST.