We propose a method for simultaneously translating from a single source language to multiple target languages T1, T2, etc. The motivation behind this method is that if we only have a weak language model for T1 and translations in T1 and T2 are associated, we can use the information from a strong language model over T2 to disambiguate the translations in T1, providing better translation results....

Feature modeling is an important approach to capture the commonalities and variabilities in system families and product lines. Cardinality-based feature modeling integrates a number of existing extensions of the original feature-modeling notation from Feature-Oriented Domain Analysis. Staged configuration is a process that allows the incremental configuration of cardinality-based feature models...

In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement. Results on Wall Street Journal text show that the parser performs at 88.1/87.5% constituent precision/recall, an average improvement of 2.3% over (Collins 96).

The production of smart, seamless and economical devices has paved the way for the development of context aware systems. Context awareness allows a system to classify the current activity based on the context as measured by the sensors present in the devices. With the presence of multiple devices and services in the environment security threats are expected. The threats can be modelled during t...

This paper presents an analysis of the potential and a methodology for handling context events and adaptations in maintenance services. A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems. Such systems were modular in nature but little care was take...

In this paper we consider a strict generalization of context-free processes, the pushdown processes, and show that this class of processes is 1) closed under parallel composition with nite state systems, and can 2) be model checked by means of an elegant adaptation of the higher order model checker introduced in BS92]. This shows the advantages of pushdown processes over context-free processes,...

In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in this model is all attribute of "bunsetsu". This is represented by the product of the head of content words and that of function words. The relation between the attributes of "bunsetsu" is ruled by a context-free grammar. The word sequences axe predicted from the attribute using word n-gra...

Reinforcement learning agents require a learning stimulus in the form of a reward signal in order for learning to occur. Typically, this reward signal makes specific assumptions about the agent’s external environment, such as the presence of certain tasks which should be learned or the presence of a teacher to provide reward feedback. For many complex, dynamic environments, design time knowledg...

We propose a new variant of TreeAdjoining Grammar that allows adjunction of full wrapping trees but still bears only context-free expressivity. We provide a transformation to context-free form, and a further reduction in probabilistic model size through factorization and pooling of parameters. This collapsed context-free form is used to implement efficient grammar estimation and parsing algorit...