AraSAS: The Open Source Arabic Semantic Tagger

no code implementations • OSACT (LREC) 2022 • Mahmoud El-Haj, Elvis de Souza, Nouran Khallaf, Paul Rayson, Nizar Habash

This paper presents (AraSAS) the first open-source Arabic semantic analysis tagging system.

TAG

Towards Arabic Sentence Simplification via Classification and Generative Approaches

no code implementations • 20 Apr 2022 • Nouran Khallaf, Serge Sharoff

This paper presents an attempt to build a Modern Standard Arabic (MSA) sentence-level simplification system.

Classification Lexical Simplification +2

Automatic Difficulty Classification of Arabic Sentences

no code implementations • EACL (WANLP) 2021 • Nouran Khallaf, Serge Sharoff

In this paper, we present a Modern Standard Arabic (MSA) Sentence difficulty classifier, which predicts the difficulty of sentences for language learners using either the CEFR proficiency levels or the binary classification as simple or complex.

Binary Classification Classification +7