Programming-by-Example approaches allow users to transform data by simply entering the target data. However, current methods do not scale well to complicated examples, where there are many examples or the examples are long. In this paper, we present an approach that exploits the fact that users iteratively provide examples. It reuses the previous subprograms to improve the efficiency in generat...

This paper presents a query-by-example word spotting in handwritten Arabic documents, based on Scale Invariant Feature Transform (SIFT), without using any text word or line segmentation approach, because any errors affect to the subsequent word representation. First the interest points are automatically extracted from the images using SIFT detector, then, we use SIFT descriptor to represent eac...

This presentation demonstrates a new multi-engine machine translation system, which combines knowledge-based and example-based machine translation strategies for realtime translation of business news captions from English to German.

In a visual surveillance application where a network of cameras is used to observe many people, there are numerous situations where the consistent identification of a person is an important component in the system. There are many approaches to describing the appearance of a person. In this paper, we examine a combination of two identity descriptors: standard MPEG-7 color descriptors, and spatia...

It has been proved that large-scale realistic Knowledge Based Machine Translation (KBMT) applications require acquisition of huge knowledge about language and about the world. This knowledge is encoded in computational grammars, lexicons and domain models. Another approach – which avoids the need for collecting and analyzing massive knowledge-is the Example Based approach, which is the topic of...

This paper describes a novel music playback interface, called Musicream, which lets a user unexpectedly come across various musical pieces similar to those liked by the user. With most previous “query-by-example” interfaces used for similarity-based searching, for the same query and music collection a user will always receive the same list of musical pieces ranked by their similarity and opport...

Much previous research on multiword expressions (MWEs) has focused on the tokenand typelevel tasks of MWE identification and extraction, respectively. Such studies typically target known prevalent MWE types in a given language. This paper describes the first attempt to learn the MWE inventory of a “surprise” language for which we have no explicit prior knowledge of MWE patterns, certainly no an...