Subsymbolic Case-Role Analysis of Sentences with Embedded Clauses

A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the input word sequence into clauses, forming the case-role representations, and keeping track of the recursive embeddings into different modules. The system needs to be trained only with the basic sentence constructs, and it generalizes not only to new instances of familiar relative clause structures but to novel structures as well. SPEC exhibits plausible memory degradation as the depth of the center embeddings increases, its memory is primed by earlier constituents, and its performance is aided by semantic constraints between the constituents. The ability to process structure is largely due to a central executive network that monitors and controls the execution of the entire system. This way, in contrast to earlier subsymbolic systems, parsing is modeled as a controlled high-level process rather than one based on automatic reflex responses.     

The renewal of the diaconate and the holistic mission of the Church

Research on the diaconate in recent years has provided a stimulus for discussion on possible reform and renewal of the ordained ministry. Whilst some critics see this as arising merely from an attempt at a uniformity which might further the search for unity in the Church, this article argues that there are in fact certain natural reasons for reforming the diaconate. The author focuses on the relationship of mission and diakonia and the renewal of the diaconate with each other. Though the term ‘mission’ is not often used, the article follows the central points of ecumenical missiological discussion, addressing the crucial question, ‘What is the place of diakonia and the diaconate in the holistic mission of the Church?’ There is thence a certain logic in the argument, leading to the conclusions the author finally draws.     

Speech-sound duration processing in a second language is specific to phonetic categories

The mismatch negativity (MMN) component of the auditory event-related potential was used to determine the effect of native language, Russian, on the processing of speech-sound duration in a second language, Finnish, that uses duration as a cue for phonological distinction. The native-language effect was compared with Finnish vowels that either can or cannot be categorized using the Russian phonological system. The results showed that the duration-change MMN for the Finnish sounds that could be categorized through Russian was reduced in comparison with that for the Finnish sounds having no Russian equivalent. In the Finnish sounds that can be mapped through the Russian phonological system, the facilitation of the duration processing may be inhibited by the native Russian language. However, for the sounds that have no Russian equivalent, new vowel categories independent of the native Russian language have apparently been established, enabling a native-like duration processing of Finnish.     

Introduction: The Future of Luther Studies

Abstract : This article is an introduction to the theme articles published in this issue of Dialog. The articles derive from a workshop held in Helsinki in September 2007. They aim at identifying topics of current research that will continue to be relevant to Luther studies in the future.