The present study examines two methods for learning and modeling vowel harmony from text corpora. The first uses Expectation Maximization with Hidden Markov Models to find the most probable HMM for a training corpus. The second uses pointwise Mutual Information between distant vowels in a Boltzmann distribution, along with the Minimal Description Length principle to find and model vowel harmony...

Roundness and cylindricity evaluations are among the most important problems in computational metrology, and are based on sets of surface measurements (input data points). A recent approach to such evaluations is based on a linear-programming approach yielding a rapidly converging solution. Such a solution is determined by a fixed-size subset of a large input set. With the intent to simplify th...

The rotation accuracy of the aerostatic spindle can easily be affected by shaft shape errors due to small gas film clearance. Thus, main with largest scale—that is, roundness and cylindricity errors—are studied in this paper, a dynamic mathematical model is established consideration roundness, errors, speed. In order construct model, discrete coefficient index radius based on measurement data a...

In the paper, an issue of CMM measurement strategy sleeves and pins designed for wear tests in cycloidal drive. The was proposed, based on initial out-of-roundness scanning mode. Proposed approach ensured that pin measured along its entire 40 mm length with only small area fixation ca. 5 left out, all probing points cylindricity deviation assessment were collected one fixation. It demonstrated ...