19 resultados para Legislation as topic


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Book review: Heidelberg, Dordrecht, London, and New York, Springer, 2010, 189 pp., £93.55 (hardcover), ISBN 978-3-642-04330-7, e-ISBN 978-3-642-04331-4

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There is a tendency to view conversations involving non-native speakers (NNSs) as inevitably fraught with problems, including an inability to handle topic management. This article, in contrast, will focus on effective topic changes made by non-native speakers during informal conversations with native speakers of English. A micro-analysis of ten conversations revealed several ways of shifting conversational topics; however, the article concentrates on those strategies which the participants used to effect a particular type of topic move, namely 'marked topic changes', where there is no connection at all with previous talk. The findings show how these topic changes were jointly negotiated, and that the non-native speakers' contributions to initiating new topics were competently managed.

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This article offers an initial impact assessment regarding the introduction of new legislative responsibilities at the Land level in a case study of prisons policy (Strafvollzug). Combining an analysis of new legislation produced across the 16 Länder since the responsibility for prisons policy was transferred to the Land level, and insights into the mechanics of policy development obtained through a series of interviews with senior politicians and officials, this article finds that the desire among Länder to legislative independently has varied, with substantial backing for co-ordination in the development of new legislation. This has helped to confound expectations of a ‘competition of harshness’ which many expected to result from decentralisation. However, even before the 2006 reforms, there were substantial variations between the Länder when it came to implementing prisons policy, so consideration of the sub-national level in this area remains essential.

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Conventional topic models are ineffective for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence patterns. In this work, we organize microblog posts as conversation trees based on reposting and replying relations, which enrich context information to alleviate data sparseness. Our model generates words according to topic dependencies derived from the conversation structures. In specific, we differentiate messages as leader messages, which initiate key aspects of previously focused topics or shift the focus to different topics, and follower messages that do not introduce any new information but simply echo topics from the messages that they repost or reply. Our model captures the different extents that leader and follower messages may contain the key topical words, thus further enhances the quality of the induced topics. The results of thorough experiments demonstrate the effectiveness of our proposed model.