ABSTRACT: In this paper we present moment invariant and neural network to classify airport pavement distress images. The moment invariant has been extracting images feature that published two-dimensional pattern recognition application method in 1962. The image pattern can be reduced to number of values such that they are description of the translation, scale, and rotation of an object in the i...

The quality of a Neural Machine Translation system depends substantially on the availability of sizable parallel corpora. For low-resource language pairs this is not the case, resulting in poor translation quality. Inspired by work in computer vision, we propose a novel data augmentation approach that targets low-frequency words by generating new sentence pairs containing rare words in new, syn...

In this paper, we present a new method based on machine translation for correcting serial grammatical errors in a given sentence in learners’ writing. In our approach, translation models are generated to translate the input into a grammatical sentence. The method involves automatically learning two translation models that are based on Web-scale n-grams. The first model translates trigrams conta...

Lay people discussing machine translation systems often perform a round trip translation, that is translating a text into a foreign language and back, to measure the quality of the system. The idea behind this is that a good system will produce a round trip translation that is exactly (or perhaps very close to) the original text. However, people working with machine translation systems intuitiv...

Abstract With proliferation of user generated contents in social media platforms, establishing mechanisms to automatically identify toxic and abusive content becomes a prime concern for regulators, researchers, society. Keeping the balance between freedom speech respecting each other dignity is major platform regulators. Although, automatic detection offensive using deep learning approaches see...

Background: Psychosocial factors are not routinely identified in physical therapy assessments, although they can influence the prognosis of patients with low back pain. The "STarT Back Screening Tool" (SBST) questionnaire aids in screening such patients for poor prognosis in the primary care setting and classifies them as high, medium, or low risk based on physical and psychosocial factors. Obj...

Translations between models expressed in textual transition systems and those ex pressed in structured Petri net notation are presented in both directions The transla tions are structure preserving meaning that the hierarchical structure of the systems is preserved Furthermore assuming non nite state data manipulation has been abstracted out of the textual transition system then translating one...

INTRODUCTION The clinical concept of urticaria embraces a heterogeneous group of conditions classified according to their clinical course as acute (lasting less than 6 weeks) or chronic (lasting 6 weeks or more). Chronic urticaria may be either spontaneous or induced. Few tools are available for monitoring the various clinical forms of this disease or for evaluating its impact on quality of lif...

Introduction: Although the translation and validation of McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD) are performed in various languages samples, no study has established validity reliability Urdu version MSI-BPD individuals with cardiac problems. Materials Methods: The was prepared through standard back-translation method. adaption were completed four steps: forwar...