The aim of this work is to develop and study a fully continuous individual-based model (IBM) for cancer tumor invasion into a spatial environment of surrounding tissue. The IBM improves previous spatially discrete models, because it is continuous in all variables (including spatial variables), and thus not constrained to lattice frameworks. The IBM includes four types of individual elements: tu...

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

Current word alignment models for statistical machine translation do not address morphology beyond merely splitting words. We present a two-level alignment model that distinguishes between words and morphemes, in which we embed an IBM Model 1 inside an HMM based word alignment model. The model jointly induces word and morpheme alignments using an EM algorithm. We evaluated our model on Turkish-...

The quality of statistical machine translation systems depends on the quality of the word alignments, computed during the translation model training phase. IBM generative alignment models, despite their poor quality compared to a gold standard, perform well in practice. In this paper, we propose an improved word aligner based on a maximum entropy alignment combination model, which employ better...

Faults in a Shipboard Power System (SPS) may occur due to material casualties of electrical components or widespread fault due to battle damage. These faults may interrupt supply of electrical energy to loads that are important for proper functioning and survivability of SPS. To improve the reliability of SPS, and thus to enhance survivability of naval ships, automatic service restoration is pe...

Among the alignment models used in statistical machine translation (SMT), the hidden Markov model (HMM) is arguably the most elegant: it performs consistently better than IBM Model 3 and is very close in performance to the much more complex IBM Model 4. In this paper we discuss a model which combines the structure of the HMM and IBM Model 2. Using this surrogate, our experiments show that we ca...

This paper introduces the IBM Linux in Academia program and a curriculum development project initiated by the authors for the program. The service of IBM Linux in Academia program is based on the Linux virtual service concept in which a mainframe computer is partitioned into many Linux images supported by IBM’s Virtual Machine Operating System. On the IBM S/390 system, each image acts as an ind...