In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the ...

Previous work has shown that grammars and similar structure can be induced from unlabeled text (both monolingually and bilingually), and that the performance of an example-based machine translation (EBMT) system can be substantially enhanced by using clustering techniques to determine equivalence classes of individual words which can be used interchangeably, thus converting translation examples...

Abstract Gerhard Schurz claims to have a solution Hume’s problem of induction based on results from machine learning concerning meta-induction. His argument has two steps. The first is establish justification for following certain meta-inductive strategy its predictive optimality. second step show how this can be transferred object-induction. I unpack the and fail find convincing supporting tra...

induction motor bearing is one of the key parts of the machine and its analysis and interpretation are important for fault detection. in the present work vibration signal has been taken for the classification i.e. bearing is healthy (h) or defective (d). for this purpose, clustering based classification of bearing vibration data has been carried out using principal component analysis (pca) and ...

Vector controlled induction machine drives are increasingly used in industrial drive systems, but the drive performance often degrades with the machine parameter variations. In this paper, a modified vector control system is proposed to achieve decoupling when saturation and iron losses are taking into account. The simulated and experimental results of the modified controller are presented to v...