This paper presents a novel holistic technique for classifying and retrieving Arabic handwritten text documents. The retrieval of Arabic handwritten documents is performed in several steps. First, the Arabic handwritten document images are segmented into words, and then each word is segmented into its connected parts. Second, several features are extracted from these connected parts and then co...

There are two ways in which we can contemplate the global/local dimension in relation to Indian commercial fiction in English: first, in terms of processes of publication and circulation (the means of production); and, second, in terms of the broad characteristics and reception of such fiction (product and consumption). This paper discusses Indian commercial fiction in English since the 1980s a...

Fiction literature has largely been ignored by psychology researchers because its only function seems to be entertainment, with no connection to empirical validity. We argue that literary narratives have a more important purpose. They offer models or simulations of the social world via abstraction, simplification, and compression. Narrative fiction also creates a deep and immersive simulative e...

The rise in Arabic usage within various social media platforms, and notably in Twitter, has led to a growing interest in building Arabic Natural Language Processing (NLP) applications capable of dealing with informal colloquial Arabic, as it is the most commonly used form of Arabic in social media. The unique characteristics of the Arabic language make the extraction of Arabic named entities a ...

In December 2010, the FCC completed an almost 4 yearlong rulemaking process related to socalled “Internet Neutrality.” During this process, more than 32,000 comments and related documents were filed with the FCC, arguing for or against net neutrality regulation. The debate over net neutrality is largely understood to be one of access providers vs. content providers. Those companies providing ho...

In this paper, we present recognition of handwritten characters of Arabic script. Arabic is now the 6 most spoken language in the world and is spoken by more than 200 million people worldwide. The 7 Century A.D., Arabic started to spread to the Middle East as many people started to convert to Islam. During this time of religious conversions, Arabic replaced many South Arabian languages, most of...

In this paper, Arabic was investigated from the speech recognition problem point of view. We propose a novel approach to build an Arabic automated speech recognition system using Arabic environment. The system, based on the open source CMU Sphinx-4, was trained using Arabic characters.

Developments in Arabic information retrieval did not follow the increasing use of the Arabic Web during the last decade. Semantic indexing in a language with high inflectional morphology, such as Arabic, is not a trivial task and requires a text analysis in the original language. Excepting cross-language retrieval methods or limited studies, the main efforts, for developing semantic analysis me...

Natural language processing technology for the dialects of Arabic is still in its infancy, due to the problem of obtaining large amounts of text data for spoken Arabic. In this paper we describe the development of a part-of-speech (POS) tagger for Egyptian Colloquial Arabic. We adopt a minimally supervised approach that only requires raw text data from several varieties of Arabic and a morpholo...

The aim of this paper is to evaluate three public Arabic speech corpora, namely the West Point (WP), Saudi Accented Arabic Voice Bank (SAAVB) and the BBN Technologies/American University at Beirut (BBN/AUB) corpus by referring the TIMIT English speech corpus as benchmark. Weaknesses, strengths, and discrepancies of these Arabic corpora regarding their design and content are covered in this pape...