Modeling Global Syntactic Variation in English Using Dialect Classification

This paper evaluates global-scale dialect identification for 14 national varieties of English as a means for studying syntactic variation. The paper makes three main contributions: (i) introducing data-driven language mapping as a method for selecting the inventory of national varieties to include in the task; (ii) producing a large and dynamic set of syntactic features using grammar induction rather than focusing on a few hand-selected features such as function words; and (iii) comparing models across both web corpora and social media corpora in order to measure the robustness of syntactic variation across registers

Intracranial haemorrhage in a dobermann puppy with von Willebrand's disease

Neurological examination of a lethargic, ataxic 12-week-old dobermann revealed decreased conscious proprioception in all its limbs. Haematological examination revealed a low platelet count. Cytological examination of a sample of cerebrospinal fluid revealed evidence of haemorrhage and chronic inflammation. The levels of von Willebrand's factor antigen were extremely low. Skull radiographs were consistent with mild hydrocephalus. Treatment resulted in little clinical improvement and the animal was euthanased. Post mortem examination of the brain revealed an internal hydrocephalus with haemorrhage into the ventricles. It was considered that the animal had suffered severe intracranial haemorrhage as a result of its low level of von Willebrand's factor antigen and that the bleeding may have been potentiated by the low platelet count

The Future Affordances of Digital Learning and Teaching within The School of Education

This report illustrates the discussion outcome on digital education within the University of Glasgow School of Education. It is not a strategy document but it does explore the conditions for nurturing digital culture and how these can be channelled into a strategy on digital learning and teaching. The report is based on a review of literature and on a number of local, national and international case study vignettes

Stop and Frisk 2012: NYCLU Briefing

This report discloses detailed information about all aspects of the NYPD's stop-and-frisk program, including detailed breakdowns by precinct. New to this report is an analysis of marijuana-related aspects of the NYPD's stop-and-frisk regime

Teaching in higher education: can social media enhance the learning experience?

Higher Education (HE) teaching practices have evolved over the last twenty years, with more emphasis on student-centered pedagogy. There is an increased expectation placed onto the role that technology can play to harness effective learning. However, one could argue that there remains disconnect between our ambition for interactive learning through technology and the realities of our practice (Roblyer et al, 2010). This study explores the concept of interactive learning by focusing upon a specific use of mobile and portable technology. The role of social media may offer a new construct to enhance the learning experience

Huntington\u27s Disease--A Review

Huntington’s disease is degenerative and effects both cognitive and motor functioning, beginning in the 20s and continuing a decline for about two decades until death. In this disease, the huntingtin gene on chromosome four codes for an abnormally elongated repeating CAG polypeptide sequence. This mutation causes an atrophy in the brain that translates into decreasing control of movements and other aspects of cognition. To date, there is no cure for Huntington’s disease, but there are treatments for many symptoms that accompany the disease. Even still, there are promising new methods that may be more beneficial to patients in the future

Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

A usage-based Construction Grammar (CxG) posits that slot-constraints generalize from common exemplar constructions. But what is the best model of constraint generalization? This paper evaluates competing frequency-based and association-based models across eight languages using a metric derived from the Minimum Description Length paradigm. The experiments show that association-based models produce better generalizations across all languages by a significant margin