The paper discusses a concept of representing a rule-based knowledge base of an expert system with a hybrid method combining decision trees and tables. The XTT method provides means for logical formulation of a hierarchical rulebase with explicit inference control. It also has a well-defined visual representation, which is useful in the design process. On the machine readable level the XTT know...

We consider multi-agent scenarios where each agent controls a surveillance camera positioned in the plane, with fixed position and angle of view, but rotating freely. The agents can thus observe the surroundings and each other. They can also reason about each other’s observation abilities and knowledge derived from these observations. We introduce suitable logical languages for reasoning about ...

In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to language B and one from B to A), training text is translated from A to B and back again to A. Using these two translations, differences in knowledge between the two translation functions are identified, and rules are ...

OBJECTIVE This study examined the competence and accuracy of ad hoc interpreters in interpreting key psychiatric terms at a South African psychiatric hospital METHODS Nine individuals were asked to translate key psychiatric terms from English to Xhosa. These translations were then back-translated by independent translators, who do not have knowledge of psychiatric terminology. These back-tran...

Image processing problems in general, and particular the field of single-particle cryo-electron microscopy, often require considering images up to their rotations translations. Such were tackled successfully when only, using quantities which are invariant action on images. Extending these methods cases where translations involved is more complicated. Here we present a computationally feasible t...

We consider the problem of identifying automatic translations from manual translations of the same sentence. Using two different similarity metrics (BLEU and Levenshtein edit distance), we found out that automatic translations are closer to each other than they are to manual translations. We also use phylogenetic trees to provide a visual representation of the distances between pairs of individ...

Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information retrieval. In mining English translations of Chinese terms, how to obtain effective Web pages and evaluate translation candidates are two challenging issues. In this paper, the approach based on semantic prediction is f...

This paper introduces a method for learning to find translation of a given source term on the Web. In the approach, the source term is used as a query and part of patterns to retrieve and extract translations in Web pages. The method involves using a bilingual term list to learn sourcetarget surface patterns. At runtime, the given term is submitted to a search engine then the candidate translat...

ABSTRACT
 Stepanos Lehatsy is one of Armenia's greatest thinkers the 17th century He author many translations philosophical works worldwide significance, among which most important are "Metaphysics" and "On Soul" Aristotle, together with translator's comments, four famous Dionysius Areopagite, "Jewish War” Flavius Josephus, also Ecclesiasticus ("The Book Sirach"), "The Quran" other transla...