Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

The computed tomography allows to reconstruct the inner morphological structure of an object without physical destructing. accuracy digital image reconstruction directly depends on measurement conditions tomographic projections, in particular, number recorded projections. In medicine, reduce dose patient load there try measured However, a few-view tomography, when we have small using standard a...

background: the dependency ratio (dr) is defined as the ratio of the non-working population to the economically active population. dependency ratio is calculated by the sum of population under fifteen years and over 65 years divided by 15-64 year old population. the interpretation of dr variation gives us the impact of health care services and some reproductive interventions. this study analyze...

Parsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Experimental evaluation confirms that MaltParser can achieve rob...

Introduction The purpose of the current study was to determine optical sensitivity of N-isopropyl acrylamide NIPAM and polyacrylamide gelatin and tetrakis hydroxymethyl phosphoniun chloride (PAGAT) polymer gels for different wavelength of visible light spectrum applied in optical computed tomography method. Materials and Methods NIPAM and PAGAT polymer gels with conventional formulations used f...