In this paper, we present our contribution in SemEval2016 task71: Determining Sentiment Intensity of English and Arabic Phrases, where we use web search engines for English and Arabic unsupervised sentiment intensity prediction. Our work is based, first, on a group of classic sentiment lexicons (e.g. Sentiment140 Lexicon, SentiWordNet). Second, on web search engines’ ability to find the cooccur...

Subjectivity and Sentiment Analysis (SSA) research in Arabic is still in its beginning phases regarding the research done in English on different granularities (sentence and document levels). In this paper, a simple system is proposed to perform sentiment analysis (or polarity detection) using an aggressive stemmer in the preprocessing phase followed by a Fuzzy classifier. The main focus of thi...

In this paper, we offer broad insight into the underperformance of Arabic constituency parsing by analyzing the interplay of linguistic phenomena, annotation choices, and model design. First, we identify sources of syntactic ambiguity understudied in the existing parsing literature. Second, we show that although the Penn Arabic Treebank is similar to other treebanks in gross statistical terms, ...

Arabic, the world’s second most spoken language in terms of number of speakers, has not received much attention from the traditional speech processing research community. This study is specifically concerned with the analysis of vowels in modern standard Arabic dialect. The first and second formant values in these vowels are investigated and the differences and similarities between the vowels e...

In this paper, we address the problems of Arabic Text Classification and stemming using Transducers and Rational Kernels. We introduce a new stemming technique based on the use of Arabic patterns (Pattern Based Stemmer). Patterns are modelled using transducers and stemming is done without depending on any dictionary. Using transducers for stemming, documents are transformed into finite state tr...

Legal translation is a type of translation for legal terms and documents from a source language (SL) into a target language (TL). Moreover, it is also a translation from one legal system into another. It involves all the legal texts that are used in different legal settings; in courts, legal reports, contracts, etc. This paper aimed at examining the translatability of Google Translation (GT) fo...

The extensive expansion and use of the Web and the Internet comes at the price of seducing a number of intruders to utilize the Web for destructive purposes. In the scope of Websites and Web pages, spammers try to inject their own content and pages in Web sites and search engine search results to be more visible to users and attract users to their Websites or products. This paper analyses the b...

Steganography is a method of hiding data within a cover media so that other individuals fail to realize their existence. In this paper, a new approach for steganography in Arabic texts is proposed. The main idea is that each Arabic word may have some characters which can be extended by 'Kashida'. The ranks 'locations' of such characters and the inserted Kashida, construct a coding method to rep...

In this paper we describe a novel approach to delimit named entities and nominal successive mentions in the Arabic Wikipedia. To achieve this a linguistic analysis of named entities and successive mentions in the Arabic Wikipedia, in terms of coverage and complexity, is presented. A supervised machine learning classifier has been used to predict the presence of the named entities in the Arabic ...