“The process of multi-document summarization is producing a single summary of a collection of related documents. In this work we focus on generic extractive Arabic multi-document summarizers. We also describe the cluster approach for multi-document summarization. The problem with multi-document text summarization is redundancy of sentences, and thus, redundancy must be eliminated to ensure cohe...

The Arabic language comes under the category of Semitic languages with an entirely different sentence structure in terms of Natural Language Processing. In such languages, two different words may have identical spelling whereas their pronunciations and meanings are totally different. To remove this ambiguity, special marks are put above or below the spelling characters to determine the correct ...

This study is intended to examine the problems of translating texts; it one few studies which tackle translation at a text level, area ignored by many researchers in field. More specifically, investigates achieving cohesion using Arabic conjunction wa و, fa ف and thumma ثُمَّ while texts from English into Arabic. Its population was third-year students who studied Translation courses Faculty Educat...

We describe an Arabic-Hebrew parallel corpus of TED talks built upon WIT, the Web inventory that repurposes the original content of the TED website in a way which is more convenient for MT researchers. The benchmark consists of about 2,000 talks, whose subtitles in Arabic and Hebrew have been accurately aligned and rearranged in sentences, for a total of about 3.5M tokens per language. Talks ha...

Cross language information retrieval (CLIR) presents huge ambiguous results as polysemy problems. Therefore, the semantic approach comes to solve the polysemy problem which that the same word may have different meanings according to the context of sentences. This paper presents semantic technique on queries for retrieving more relevant results in CLIR) that concentrates on the Arabic, Malay or ...

The conventional approach in text-based machine translation (MT) is to translate complete sentences, which are conveniently indicated by sentence boundary markers. However, since such boundary markers are not available for speech, new methods are required that define an optimal unit for translation. Our experimental results show that with a segment length optimized for a particular MT system, i...

We train and test two probabilistic taggers for Arabic phrase break prediction on a purpose-built, “gold standard”, boundary-annotated and PoS-tagged Qur‟an corpus of 77430 words and 8230 sentences. In a related LREC paper (Brierley et al., 2012), we cover dataset build. Here we report on comparative experiments with off-the-shelf N-gram and HMM taggers and coarse-grained feature sets for synta...

This paper describes a machine translation system that offers many deaf and hearingimpaired people the chance to access published information in Arabic by translating text into their first language, Arabic Sign Language (ArSL). The system was created under the close guidance of a team that included three deaf native signers and one ArSL interpreter. We discuss problems inherent in the design an...

Event extraction is one of the most useful and challenging Information Extraction (IE) tasks that can be used in many natural language processing applications in particular semantic search systems. Most of the developed systems in this field extract events from English texts; therefore, in many other languages in particular Arabic there is a need for research in this area. In this paper, we dev...

the arabic language of the qur'an is an integral aspect of this revealed book. it is not only the content of the qur'an which has come from allah, the container is also divine and cannot be separated from the message. since the message has been sent to mankind, it has a clear human language as its vehicle of expression' but the very words and verses of the qur'an have no! be...