Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

Machine translationness (MTness) is the linguistic phenomena that make machine translations distinguishable from human translations. This paper intends to present MTness as a research object and suggests an MT evaluation method based on determining whether the translation is machine-like instead of determining its human-likeness as in evaluation current approaches. The method rates the MTness o...

1 School of Electronics and Applied Science, Aston University, Birmingham B4 7ET, UK 2Simula Research Laboratory, Fornebu, 1325 Lysaker, Norway 3Telecommunications Research Laboratory, Toshiba Research Europe Ltd., Bristol BS1 4ND, UK 4Department of Engineering Science, National Cheng Kung University, Tainan City 70101, Taiwan 5School of Electronic and Information Engineering, Beihang Universit...

machine-part family formation is one of major applications of group technology (gt). the machine cell formation problem in cellular manufacturing system (cms) involves the decomposition of the manufacturing system into machine cells. part families are identified such that they are fully processed within a machine cell. the problem of cell design is a very complex task with wide ranging implicat...

In this research, we consider an application of the Bayesian Inferences in machine replacement problem. The application is concerned with the time to replace two machines producing a specific product; each machine doing a special operation on the product when there are manufacturing defects because of failures. A common practice for this kind of problem is to fit a single distribution to the co...

In this paper, a single-product, single-machine system under Markovian deterioration of machine condition and demand uncertainty is studied.  The objective is to find the optimal intervals for inspection and preventive maintenance activities in a condition-based maintenance planning with discrete monitoring framework. At first, a stochastic dynamic programming model whose state variable is the ...