The Arabic language presents researchers and developers of natural language processing
(NLP) applications for Arabic text and speech with serious challenges. The purpose of this …

Selecting keywords from Twitter as features to identify events is challenging due to language
informality such as acronyms, misspelled words, synonyms, transliteration and ambiguous …

Extracting textual features from tweets is a challenging task due to the noisy nature of the
content and the weak signal of most of the words used. In this paper, we propose using …

Online Communities for Question Answering (CQA) such as Quora and Stack Overflow face
the challenge of providing sufficient answers for the questions asked by users. The …

The interaction between roots and patterns in Arabic has intrigued lexicographers and
morphologists for centuries. While roots provide the consonantal building blocks, patterns …

This chapter addresses the exploitation of a supervised machine learning technique to
automatically induce Arabic-to-English transfer rules from chunks of parallel aligned …

ABSTRACT The term Natural Language Processing (NLP) refers to all research and
development aimed at modeling and reproducing, with the machines, the human capacity to …

In this information age, we are inundated with tremendous amounts of data coming from
multiple diverse sources. Efficiently Extracting information from such sources is of paramount …