Proposal of “open-loop” tracking interferometer for machine tool volumetric error measurement

Volumetric Error Analysis of a Stewart Platform Based Machine Tool

Striving for greater accuracy, some machine tool manufacturers are developing parallel structures for the next generation machine tool. Therefore, tools are needed to analyze the effect error sources have on this type of structure. A model of a Stewart Platform based machine tool is developed that provides the framework for inclusion of all relevant error sources. An error analysis is presented...

Eye Tracking as a Tool for Machine Translation Error Analysis

We present a preliminary study where we use eye tracking as a complement to machine translation (MT) error analysis, the task of identifying and classifying MT errors. We performed a user study where subjects read short texts translated by three MT systems and one human translation, while we gathered eye tracking data. The subjects were also asked comprehension questions about the text, and wer...

Proposal on Tracking Measurement Error in the CE

Measurement Error Estimation for Feature Tracking

Performance estimation for feature tracking is a critical issue, <ffeature tracking results are to be used intelligently. In this paper, we de~ive quantitative measures for thespatial accuracy of a particular feature tracker. This method uses the results from the sum-of-squared-differences correlation measure commonly used for feature tracking to estimate the accuracy (in the image plane) of th...

Hjerson: An Open Source Tool for Automatic Error Classification of Machine Translation Output

We describe Hjerson, a tool for automatic classification of errors in machine translation output. The tool features the detection of five word level error classes: morphological errors, reodering errors, missing words, extra words and lexical errors. As input, the tool requires original full form reference translation(s) and hypothesis along with their corresponding base forms. It is also possi...