This paper experiments with frequency-based corpus similarity measures across 39 languages using a register prediction task. The goal is to quantify (i) the distance between different corpora from same language and (ii) homogeneity of individual corpora. Both these goals are essential for measuring how well corpus-based linguistic analysis generalizes one dataset another. problem that previous ...

An industrial process includes many devices, variables, and sub-processes that are physically or electronically interconnected. These interconnections imply some level of correlation between different variables. Since most the alarms in a plant defined on also correlated. However, this can be nuisance to operators, for one fault might trigger a, sometimes large, number alarms. So, it is essenti...

The contemporary situation of the world is very pathetic due to spread COVID-19. In this article, we have prepared a decision making model on COVID-19 pandemic patients with help neutrosophic similarity measures. predict patents for testing positive and negative. based result cases. We used measure theory distance function. C-programming finding suspected patients.

Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In the present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented and compared with the existing measures. Numerical results reveal that the proposed information measures attain the higher association with the existing me...

Electronic Music Distribution (EMD) is in demand of robust, automatically extracted music descriptors. We introduce a timbral similarity measures for comparing music titles. This measure is based on a Gaussian model of cepstrum coefficients. We describe the timbre extractor and the corresponding timbral similarity relation. We describe experiments in assessing the quality of the similarity rela...

In this paper, we investigate the difference between word and sense similarity measures and present means to convert a state-of-the-art word similarity measure into a sense similarity measure. In order to evaluate the new measure, we create a special sense similarity dataset and re-rate an existing word similarity dataset using two different sense inventories from WordNet and Wikipedia. We disc...