The functionality of the recently announced Microsoft .NET system is founded on the capabilities of the Common Language Infrastructure (CLI). Unlike some other recent systems based on virtual machines, the CLI was designed from the start to support a wide range of programming languages. It is also expected that ECMA standardization will make the CLI available on a wide range of computing platfo...

The growing amount of available information and the growing importance given to the access to technical information enhance the potential role of NLP applications in enabling users to deal with information for a variety of knowledge domains. In this process, lexical resources are crucial. Using and comparing already existent wordnets for common and technical lexica, we set up a basis for integr...

One can eeectively utilize predicated execution to improve branch handling in instruction-level parallel processors. Although the potential beneets of predicated execution are high, the tradeoos involved in the design of an instruction set to support predicated execution can be diicult. On one end of the design spectrum, architectural support for full pred-icated execution requires increasing t...

This paper proposes and discusses issues on local and global text structures, all of them being connected to a lexical concept of predication. The main contributions of the present work comprise: (a) A novel functional X-bar (FX-bar) scheme is advised, aiming to reveal, model and relate the local, clause-level markers and text structures. (b) At global level, two FX-bar schemes are proposed, on...

Traditionally, statistical techniques such as multivariate discriminant analysis and logistic regression analysis have been applied for predicting financial distresses by analyzing financial ratios. In addition to statistical methods, recent studies suggest that backpropagation neural networks (BPNs) and support vector machines (SVMs) can be alternative approaches for classification tasks. Henc...

Recently, a novel image compression technique based on pattern matching was proposed, namely Pattern Matching Image Compression (PMIC). Basically, it is a lossy extension of the well known Lempel-Ziv scheme. It was proved that such an extension leads to a suboptimal compression, and that the compression ratio can as low as the so called R enyi entropy. Success of PMIC crucially depends on sever...