We describe a substitution-based system for hybrid machine translation (MT) that has been extended with machine learning components controlling its phrase selection. The approach is based on a rule-based MT (RBMT) system which creates template translations. Based on the rule-based generation parse tree and target-to-target alignments, we identify the set of “interesting” translation candidates ...

Machine-learning potentials are usually trained on the ground-state, Born-Oppenheimer energy surface, which depends exclusively atomic positions and not simulation temperature. This disregards effect of thermally-excited electrons, that is important in metals, essential to description warm dense matter. An accurate physical these effects requires nuclei move a temperature-dependent electronic f...

This paper presents the online demo of Matador, a large-scale Spanish-English machine translation system implemented following the Generation-heavy Hybrid Machine Translation (GHMT) approach.

Fuzzy control methods are developed for a high efficient variable speed constant frequency power generating system, with wind power generation as an example. In slip power recovery configuration, the system is composed of a doubly excited brushless reluctance machine and a reduced rating power electronic converter unit linking the stator secondary circuit with the power line. The doubly excited...

A set of density functionals coming from different rungs on Jacob's ladder is employed to evaluate the electronic excited states of three Ru(II) complexes. While most studies on the performance of density functionals compare the vertical excitation energies, in this work we focus on the energy gaps between the electronic excited states, of the same and different multiplicity. Excited state ener...

The tracking of objects in real time lends itself to vast industrial and practical applications; of interest is the tracking of objects within a manipulator's workspace by using machine vision. This paper presents the basics for control by vision of a 3-DOF robotic manipulator using artificial intelligence. The object or objects are first identified, next the object's movement or trajectory is ...

Since the air-gap field of flux-switching permanent magnet (FSPM) machines is difficult to regulate as it is produced by the stator-magnets alone, a type of hybrid-excited flux-switching (HEFS) machine is obtained by reducing the magnet length of an original FSPM machine and introducing a set of field windings into the saved space. In this paper, the steady-state characteristics, especially for...

INTRODUCTION A common thread among fields such natural language processing, computer vision, and artificial intelligence is that all seek to automate tasks which humans do naturally. Examples include listening to human speech, seeing and recognizing objects, reading text, and understanding meaning. If they could be automated by computers, then they could be done on demand, and much more quickly...