An Advanced Environment for Programming Transputer Networks with Dynamic Reconfiguration

this paper we present a programming environment for multicomputers. Among other features, it allows us to evaluate the performance of parallel algorithms running on a multicomputer with both, static and dynamically reconfigurable topologies. The results of this evaluation are obtained by simulating a machine model based on a transputer networ

Refined lexicon models for statistical machine translation using a maximum entropy approach

Typically, the lexicon models used in statistical machine translation systems do not include any kind of linguistic or contextual information, which often leads to problems in performing a correct word sense disambiguation. One way to deal with this problem within the statistical framework is to use maximum entropy methods. In this paper, we present how to use this type of information within a statistical machine translation system. We show that it is possible to significantly decrease training and test corpus perplexity of the translation models. In addition, we perform a rescoring ofÆ-Best lists using our maximum entropy model and thereby yield an improvement in translation quality. Experimental results are presented on the so-called “Verbmobil Task”.

Analysis of data fusion architectures and techniques in the development of an A-SMGCS Surveillance prototype *

Abstract- The work presented here addresses a key aspect of the data fusion process carried out by A-SMGCS Surveillance, needed to take maximum advantage from the simultaneous use of diverse detection and measurement technologies with complementary characteristics. The core function, Surveillance, must collect and fuse information from available sensors and information systems. The accuracy, coverage and refreshment rate in all-weather conditions must be high enough to satisfy the requirements. In a real application, this function will be constrained to deal with the specifications of output sensor data, formats, accuracies, etc. for the available sensors in the airport. In this work, we present a comparative analysis of data fusion architectures and some alternative algorithms to develop a real system deployed in Spanish airports, analyzing the capabilities and problems of different types of solution

Towards a Unified Query-By-Example (UQBE): UML as a basis

A generic graphical query language for ODMG-compliant object databases is proposed, based on the ideas of Query-By-Example, and using UML-like diagrams as schema notation. Ease of learning for users coming from the relational world and support for non object-oriented data sources are also considered as design goals. The overall layout of the query language is described, illustrating its potential expressive power via ODMG OQL comparisons