We present a framework for word alignment based on log-linear models. All knowledge sources are treated as feature functions, which depend on the source langauge sentence, the target language sentence and possible additional variables. Log-linear models allow statistical alignment models to be easily extended by incorporating syntactic information. In this paper, we use IBM Model 3 alignment pr...

This paper extends earlier work in the use of 'Agent-based Computational Economics' (ACE) for modelling the development of cooperation between firms. Inter-firm relations have increasingly been analyzed by means of transaction cost economics (TCE). However, as has been widely acknowledged, TCE does not include any dynamics of learning, adaptation or innovation, and it does not include trust. It...

The isospin-invariant interacting boson model IBM-3 is analyzed in situations where SUT (3) charge symmetry [or, equivalently, UL(6) sd symmetry] is conserved. Analytic expressions for energies, electromagnetic transitions, two-nucleon transfer probabilities, and boson-number expectation values are obtained for the three possible dynamical symmetry limits, U(5), SU(3), and O(6). Results found i...

We investigate a number of simple methods for improving the word-alignment accuracy of IBM Model 1. We demonstrate reduction in alignment error rate of approximately 30% resulting from (1) giving extra weight to the probability of alignment to the null word, (2) smoothing probability estimates for rare words, and (3) using a simple heuristic estimation method to initialize, or replace, EM train...

The connections between the E(5)−models (the original E(5) using an infinite square well, E(5)−β 4, E(5)−β 6 and E(5)−β 8), based on particular solutions of the geometrical Bohr Hamiltonian with γ-unstable potentials, and the interacting boson model (IBM) are explored. For that purpose, the general IBM Hamiltonian for the U(5)− O(6) transition line is used and a numerical fit to the different E...

As companies race to transform their businesses into e-businesses, they are discovering that the transformation process is not always straightforward. The IBM Application Framework for e-business (the Framework) is a means for achieving business transformation and a foundation framework for developing and extending e-business processes and applications. This paper describes the Framework, showi...

Model transformation is at the core of the OMG’s Model Driven ArchitectureTM (MDA). The current submission process on the OMG MOF 2.0 Query/Views/Transformation (QVT) Request for Proposals (RFP) [1] elicited eight initial submissions and currently, five revised submissions are still competing. IBM has formulated, in response to the eight first submissions, a set of recommendations for the final...