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Full-Text Articles in Jewish Studies

The Musical World Of Joseph Rumshinsky’S Mamele, D. A. Geller May 2019

The Musical World Of Joseph Rumshinsky’S Mamele, D. A. Geller

Dissertations, Theses, and Capstone Projects

“The Musical World of Joseph Rumshinsky’s Mamele” consists of a set of three cases studies that demonstrate the enormous need and potential for further Yiddish theater music scholarship. There exists little Yiddish theater scholarship that addresses music in any meaningful way: scholars like David Lifson, Nahma Sandrow, and Joel Berkowitz tend to view Yiddish theater’s rich musical traditions as a footnote in the larger history of Yiddish theater’s dramatic development. Yet Yiddish theater music developed independently from Yiddish drama, and therefore needs to be studied from a primarily musical perspective. I connect scholarship across the fields of Jewish studies …


In Spite Of You, We Live On: A Commemorative Painting, Goldie Gross Jan 2019

In Spite Of You, We Live On: A Commemorative Painting, Goldie Gross

Publications and Research

This painting is the product of a Yiddish language independent study with Professor Debra Caplan. It depicts a war portrait of Hitler with a stumbling stone inscribed with the words "אויף צו להכעיס דיר לעבן מיר נאך" (in spite of you, we live on) in the center of his face. It is accompanied by an explanation of the painting.


Techniques For Automatic Normalization Of Orthographically Variant Yiddish Texts, Yakov Peretz Blum Feb 2015

Techniques For Automatic Normalization Of Orthographically Variant Yiddish Texts, Yakov Peretz Blum

Dissertations, Theses, and Capstone Projects

Yiddish is characterized by a multitude of orthographic systems. A number of approaches to automatic normalization of variant orthography have been explored for the processing of historic texts of languages whose orthography has since been standardized. However, these approaches have not yet been applied to Yiddish.

Using a manually normalized set of 16 Yiddish documents as a training and test corpus, four techniques for automatic normalization were compared: a hand-crafted set of transformation rules, an off-the-shelf spell checker, edit distance minimization with manually set weights, and edit distance minimization with weights learned through a training set.

Performance was evaluated by …