191 research outputs found

    Knowledge-based disambiguation for machine translation

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    The resolution of ambiguities is one of the central problems for Machine Translation. In this paper we propose a knowledge-based approach to disambiguation which uses Description Logics (DL) as representation formalism. We present the process of anaphora resolution implemented in the Machine Translation system FAST and show how the DL system BACK is used to support disambiguation. The disambiguation strategy uses factors representing syntactic, semantic, and conceptual constraints with different weights to choose the most adequate antecedent candidate. We show how these factors can be declaratively represented as defaults in BACK. Disambiguation is then achieved by determining the interpretation that yields a qualitatively minimal number of exceptions to the defaults, and can thus be formalized as exception minimization

    Dialogue acts in automatic dialogue interpreting

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    In this paper we demonstrate that for an adequate translation of an utterance spoken in a dialogue the dialogue act it performs has to be determined. We introduce an approach that automatically assigns types of dialogue acts to utterances on the basis of both micro- and macro-structural information. Technically, this assignment is realized by modeling preference rules as weighted defaults in the Description Logic system FLEX. The dialogue-act type of an utterance is determined by qualitatively minimizing the exceptions to these defaults. The results described here have been developed within the VERBMOBIL project, a project concerned with face-to-face dialogue interpreting funded by the German Federal Ministry of Education, Science, Research and Technology (BMBF). We present the rather positive results of a first evaluation of this implementation showing the accuracy of dialogue act assignment

    The VERBMOBIL domain model version 1.0

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    This report describes the domain model used in the German Machine Translation project VERBMOBIL. In order make the design principles underlying the modeling explicit, we begin with a brief sketch of the VERBMOBIL demonstrator architecture from the perspective of the domain model. We then present some rather general considerations on the nature of domain modeling and its relationship to semantics. We claim that the semantic information contained in the model mainly serves two tasks. For one thing, it provides the basis for a conceptual transfer from German to English; on the other hand, it provides information needed for disambiguation. We argue that these tasks pose different requirements, and that domain modeling in general is highly task-dependent. A brief overview of domain models or ontologies used in existing NLP systems confirms this position. We finally describe the different parts of the domain model, explain our design decisions, and present examples of how the information contained in the model can be actually used in the VERBMOBIL demonstrator. In doing so, we also point out the main functionality of FLEX, the Description Logic system used for the modeling

    Association of homocysteine and smoking with cerebral microemboli in patients with mechanical heart valves: A transcranial Doppler study

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    Objectives Microembolic signals (MES) on transcranial Doppler (TCD) predict stroke and cognitive decline. Plasma levels of total homocysteine (tHcy), a prothrombotic factor, are higher in patients with microemboli in carotid stenosis and in patients with paradoxical embolism. In this study we assessed the association between the level of tHcy and the number of MES in patients with mechanical heart valves (MHVs). Methods TCD monitoring was performed to detect MES before and after breathing 100% oxygen and repeated every 2-4 weeks up to six times. Results Twenty-five patients with MHVs (mean age: 63.60±10.15 years) participated in this study; 15 were men (66.47±7.25 years) and 10 were women (59.30±12.60 years). In total, there were 126 study visits. In multiple regression, higher tHcy was associated with more MES in both preoxygenation (OR 1.34 (95% CI 1.07 to 1.68, P=0.009)) and postoxygenation (OR 1.40 (95% CI 1.07 to 1.83, P=0.01)) phases. Current smoking and the length of time between the operation and monitoring also correlated with a higher number of MES before and after breathing oxygen, particularly in women. Conclusions Higher tHcy and smoking were associated with a higher MES count in both preoxygenation and postoxygenation phases. Because smoking can be stopped and hyperhomocysteinaemia is treatable, these are clinically important findings

    Dialogue acts in VERBMOBIL

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    Die vorliegende Arbeit wurde im Rahmen des Verbundvorhabens Verbmobil vom Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (BMBF), unter dem Förderkennzeichen 01 IV 101 K / 1 gefördert. Die Verantwortung für den Inhalt dieser Arbeit liegt bei den AutorInnen.In the first phase of the VERBMOBIL project (’93-’94) several project partners worked on different aspects of dialogue acts. In Spring ‘94 a meeting was held, in which dialogue acts were discussed in detail and a common terminology was proposed (see [7] for a presentation of these results). For several reasons, which we will discuss in more detail below, a «restandardization» of the dialogue acts to be used in VERBMOBIL became necessary, however. In order to achieve such a restandardization, it was decided to organize a small meeting, in which all groups working with dialogue acts would be represented. The main part of this report contains detailed descriptions of the dialogue acts agreed upon during this meeting, thereby updating the presentations in [7] and [14]. To put our general understanding of dialogue acts into perspective, we also describe briefly the general context of VERBMOBIL and the different uses of dialogue acts in the VERBMOBIL system. In doing so we refer the interested readers to the respective publications which describe these applications in more detail

    To soothe or remove? Affect, revanchism and the weaponized use of classical music

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    Over the past 30 years, in the United Kingdom, Canada and the United States, classical music has come to function as a sonic weapon. It is used a means of dispelling and deterring ‘loiterers’ by making particular public and privately owned public spaces – such as shopping malls, bus stations, shop fronts and car parks – undesirable to occupy. In this article, I present weaponized classical music as a ‘revanchist’, audio-affective deterrent. Drawing upon Neil Smith’s description of the revanchist city, I examine how weaponized classical music works to affectively police neoliberal ‘public’ space. While credited with the capacity to ‘soothe away’ deviant behaviour through its calming influence, weaponized classical music ultimately aims to ‘remove’ the figure of the threatening and menacing ‘loiterer’ insofar as it is heard as repellent. Although affect has often been understood in contradistinction to social determinisms, weaponized classical music exemplifies the capacity of musical affects to function as a technology of social reproduction
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