This paper aims to implement what is referred to as the collocation of the Arabic keywords approach for extracting formulaic sequences (FSs) in the form of high frequency but semantically regular formulas that are not restricted to any syntactic construction or semantic domain. The study applies several distributional semantic models in order to automatically extract relevant FSs related to Arabic keywords. The data sets used in this experiment are rendered from a new developed corpus-based Arabic wordlist consisting of 5,189 lexical items which represent a variety of modern standard Arabic (MSA) genres and regions, the new wordlist being based on an overlapping frequency based on a comprehensive comparison of four large Arabic corpora with a total size of over 8 billion running words. Empirical n-best precision evaluation methods are used to determine the best association measures (AMs) for extracting high frequency and meaningful FSs. The gold standard reference FSs list was developed in previous studies and manually evaluated against well-established quantitative and qualitative criteria. The results demonstrate that the MI.log_f AM achieved the highest results in extracting significant FSs from the large MSA corpus, while the T-score association measure achieved the worst results.

Uterine fibroid is one of the most common intrauterine masses among females at the reproductive age. Pregnancy and uterine fibroids are highly correlated. Pregnancy-related hormones influence the size of uterine fibroids, and fibroids have many impacts on pregnancy. Although most if the uterine fibroids are asymptomatic during pregnancy, serious complications may occur. The main complications include abortion, premature rupture of membranes, premature labor, abruptio placentae, peripartum hemorrhage, fetal malpresentation, fetal intrauterine growth retardation, small for gestational age infants, and fetal anomalies. The main risk factors for complications are related to the fibroid number, size, volume, location, and type. Large, multiple, retroplacental, submucosal, subserosal, pedunculated, or low-lying fibroids carries the highest risk for complications during pregnancy. This review will address the prevalence of uterine fibroids during pregnancy, its effects, and complications.

Abstract.A successful computational treatment of multiword expressions (MWEs) in natural languages leads to a robust NLP system which considers the long-standing problem of language ambiguity caused primarily by this complex linguistic phenomenon. The first step in addressing this challenge is building an extensive reliable MWEs language resource LR with comprehensive computational representations across all linguistic levels. This forms the cornerstone in understanding the heterogeneous linguistic behaviour of MWEs in their various manifestations. This paper presents a detailed framework for computational representations of Arabic MWEs (ArMWEs) across all linguistic levels based on the state-of-the-art lexical mark-up framework (LMF) with the necessary modifications to suit the distinctive properties of Modern Standard Arabic (MSA). This work forms part of a larger project that aims to develop a comprehensive computational lexicon of ArMWEs for NLP and language pedagogy LP (JOMAL project).