Inside a Swiss Army Knife: An Assessment of AmeriCorps

This study reviews the goals and achievements of AmeriCorps, the national service program championed by President Clinton and approved by Congress in 1993. We identify five AmeriCorps goals: satisfying unmet social needs, developing corps members, enhancing the civic ethic, reinvigorating lethargic bureaucracies, and bridging race and class. The evidence of AmeriCorps\u27 effectiveness is not definitive. Self-reports from recipient programs, selective cost-benefit analyses, and some survey evidence indicate some positive results. More fine-grained survey and field research raise questions about AmeriCorps\u27 overall effects. Much more research is needed before policy makers and citizens can determine AmeriCorps\u27 productivity

Analysing symbolic music with probabilistic grammars

Recent developments in computational linguistics offer ways to approach the analysis of musical structure by inducing probabilistic models (in the form of grammars) over a corpus of music. These can produce idiomatic sentences from a probabilistic model of the musical language and thus offer explanations of the musical structures they model. This chapter surveys historical and current work in musical analysis using grammars, based on computational linguistic approaches. We outline the theory of probabilistic grammars and illustrate their implementation in Prolog using PRISM. Our experiments on learning the probabilities for simple grammars from pitch sequences in two kinds of symbolic musical corpora are summarized. The results support our claim that probabilistic grammars are a promising framework for computational music analysis, but also indicate that further work is required to establish their superiority over Markov models

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201