From our three year experience of developing a large-scale corpus of annotated Arabic text,
our paper will address the following:(a) review pertinent Arabic language issues as they …

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

We present in this paper PADIC, a Parallel Arabic DIalect Corpus we built from scratch, then
we conducted experiments on crossdialect Arabic machine translation. PADIC is composed …

Abstract Prague Arabic Dependency Treebank not only consists of multi-level linguistic
annotations over the language of Modern Standard Arabic, but even provides a variety of …

A fundamental challenge for current research on speech science and technology is
understanding and modeling individual variation in spoken language. Individuals have their …

This paper discusses several issues in Arabic orthography that were encountered in the
process of performing morphology analysis and POS tagging of 542,543 Arabic words in …

In this paper, we propose a hybrid named entity recognition (NER) approach that takes the
advantages of rule-based and machine learning-based approaches in order to improve the …

We present a novel method for predicting inflected word forms for generating
morphologically rich languages in machine translation. We utilize a rich set of syntactic and …

ABSTRACT Most Arabic Named Entity Recognition (NER) systems have been developed
using either of two approaches: a rule-based or Machine Learning (ML) based approach …

Abstract Language resources are important for those working on computational methods to
analyse and study languages. These resources are needed to help advancing the research …