Arabic Language

In this work, we try a hybrid methodology for language modeling where both morphological decomposition and factored language model- ing (FLM) are exploited to deal with the com- plex morphology …...

AbstractDespite Arabic is the language of hundred millions of people over the world, little has been done in terms of computerized linguistic resources, tools or applications. In this paper we …...

In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that …...

AbstractLanguages with rich morphology often introduce sparsity in language processing tasks. While morphological analyzers can reduce this sparsity by providing morpheme-level analyses for words, they will often introduce ambiguity by …...

AbstractThis paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017 Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include identifying …...

AbstractThis paper describes SiTAKA, our system that has been used in task 4A, English and Arabic languages, Sentiment Analysis in Twitter of SemEval2017. The system proposes the representation of tweets …...

AbstractUsage of offensive language on social media is getting more common these days, and there is a need of a mechanism to detect it and control it. This paper deals …...

AbstractNamed Entity Recognition (NER) is a crucial task within natural language processing (NLP) that entails the identification and classification of entities, such as person, organization and location. This study delves …...