Abstract We present CAMeL Tools, a collection of open-source tools for Arabic natural
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-
coverage instantiated normalized morphological inflection tables for hundreds of diverse …

In this paper, we present an approach for sentence-level gender reinflection using
linguistically enhanced sequence-to-sequence models. Our system takes an Arabic …

We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool
that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and …

We present ARETA, an automatic error type annotation system for Modern Standard Arabic.
We design ARETA to address Arabic's morphological richness and orthographic ambiguity …

We introduce Alma (), an open-source and state-of-the-art lemmatizer, POS tagger, and root
tagger for Arabic, boasting both high speed and accuracy. Alma relies on a dictionary of …

Arabic is a morphologically rich and complex language, with numerous dialectal variants.
Previous efforts on Arabic morphology modeling focused on specific variants and specific …

Computational morphology handles the language processing at the word level. It is one of
the foundational tasks in the NLP pipeline for the development of higher level NLP …

This demo paper presents a Google Docs add-on for automatic Arabic word-level readability
visualization. The add-on includes a lemmatization component that is connected to a five …