In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Abstract. In this paper, we present a protocol for collaborative translation, where two non-bilingual people who use different languages collaborate to perform the task of transla...