Special Libraries, December 1942

Volume 33, Issue 10https://scholarworks.sjsu.edu/sla_sl_1942/1009/thumbnail.jp

Special Libraries, July-August 1953

Volume 44, Issue 6https://scholarworks.sjsu.edu/sla_sl_1953/1005/thumbnail.jp

Special Libraries, July-August 1953

Volume 44, Issue 6https://scholarworks.sjsu.edu/sla_sl_1953/1005/thumbnail.jp

All mixed up? Finding the optimal feature set for general readability prediction and its application to English and Dutch

Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, though NLP-inspired research has focused on adding more complex readability features there is still no consensus on which features contribute most to the prediction. In this article, we investigate in close detail the feasibility of constructing a readability prediction system for English and Dutch generic text using supervised machine learning. Based on readability assessments by both experts and a crowd, we implement different types of text characteristics ranging from easy-to-compute superficial text characteristics to features requiring a deep linguistic processing, resulting in ten different feature groups. Both a regression and classification setup are investigated reflecting the two possible readability prediction tasks: scoring individual texts or comparing two texts. We show that going beyond correlation calculations for readability optimization using a wrapper-based genetic algorithm optimization approach is a promising task which provides considerable insights in which feature combinations contribute to the overall readability prediction. Since we also have gold standard information available for those features requiring deep processing we are able to investigate the true upper bound of our Dutch system. Interestingly, we will observe that the performance of our fully-automatic readability prediction pipeline is on par with the pipeline using golden deep syntactic and semantic information

Moral Revolutions: The Politics of Piety in the Ottoman Empire Reimagined

AbstractOver the sixteenth and seventeenth centuries an immense body of morality literature emerged in the Ottoman Empire as part of a widespread turn to piety. This article draws upon the anthropology of Islamic revival and secularism to reassess this literature's importance and propose a new view of the history of political thought in the empire. It does so through a close analysis of a fundamental concept of Ottoman political life: “naṣīḥat, ” or “advice.” Historians have used “advice books” to counter the presumption that the Ottoman Empire declined after the sixteenth century, but in doing so they have overlooked the concept's broader meaning as “morally corrective criticism.” I analyze two competing visions of naṣīḥat at the turn of the eighteenth century to reveal how the concept was deployed to politically transform the empire by reforming its subjects’ morality. One was a campaign by the chief jurist Feyżullah Efendi to educate every Muslim in the basic tenets of Islam. The other was a wildly popular “advice book” written by the poet Nābī to his son that both explicates a new moral code and declares the empire's government and institutions illegitimate. Both transformed politics by requiring that all subjects be responsible moral, and therefore political, actors. The pietistic turn, I argue, turned domestic spaces into political battlegrounds and ultimately created new, individualistic political subjectivities. This, though, requires challenging functionalist conceptions of the relationship between religion and politics and the secularist inclination among historians to relegate morality to the private sphere

Information Outlook, October 2006

Volume 10, Issue 10https://scholarworks.sjsu.edu/sla_io_2006/1009/thumbnail.jp

Special Libraries, October 1947

Volume 38, Issue 8https://scholarworks.sjsu.edu/sla_sl_1947/1007/thumbnail.jp