Emily Franzini

Emily Franzini
Georg-August-Universität Göttingen | GAUG · Göttingen Centre for Digital Humanities

BA Classics, MSc Management Science & Innovation

About

16
Publications
3,305
Reads
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39
Citations
Additional affiliations
October 2013 - December 2014
University of Leipzig
Position
  • Research Associate

Publications

Publications (16)
Article
Az alábbi cikk egy multidiszciplináris projekt eredményeit mutatja be, amely a különböző digitalizációs stratégiák számítógépes szöveganalízisben való használhatóságát járja körül. Pontosabban Jacob és Wilhelm Grimm szerzőségének automatizált megkülönböztetésére tettünk kísérletet, melyet egy HTR (Handwritten Text Recognition – kézzel írott szöveg...
Article
Full-text available
This article presents the results of a multidisciplinary project aimed at better understanding the impact of different digitization strategies in computational text analysis. More specifically , it describes an effort to automatically discern the authorship of Jacob and Wilhelm Grimm in a body of uncorrected correspondence processed by HTR (Handwri...
Conference Paper
The Leipzig Linguistic Services (LLS) are a SOAP-based cyberinfrastructure of atomic micro-services for the Wortschatz project, which covers different-sized textual corpora in more than 230 languages. The LLS were developed in 2004 and went live in 2005 in order to provide a webservicebased API to these corpus databases. In 2006, the LLS infrastruc...
Data
Full-text available
Poster
Full-text available
The Digital Breadcrumbs of Brothers Grimm project collects and automatically detects folktale motifs as text reuse units at scale and across languages.
Book
Graded Reader of Jane Austen's Pride & Prejudice for English language learners at level B2. Adapted by Emily Franzini with illustrations by Ottavia Bruno. Available for sale on Amazing @ https://goo.gl/hELJGL
Poster
Full-text available
The Electronic Text Reuse Acquisition Project studies the literary and linguistic phenomenon of text reuse. Hinged on its own automatic text reuse detection engine called TRACER, this research group explores text reuse in historical texts from both computational and humanities perspectives.
Chapter
Text re-use describes the spoken and written repetition of information. Historical text re-use, with its longer time span, embraces a larger set of morphological, linguistic, syntactic, semantic and copying variations, thus adding a complication to text-reuse detection. Furthermore, it increases the chances of redundancy in a Digital Library. In Na...
Conference Paper
Full-text available
This paper showcases development on a digital learning environment built for users interested in ancient languages. The environment adopts a two-pronged approach: first, it assesses user progress during the language learning phase by using exercises such as treebanking and alignment; then, it offers users the opportunity to contribute their own ann...
Conference Paper
Text re-use describes the spoken and written repetition of information. Historical text re-use, with its longer time span, embraces a larger set of morphological, linguistic, syntactic, semantic and copying variations, thus adding complication to text-reuse detection. Furthermore, it increases the chances of redundancy in a digital library. In Natu...
Technical Report
Full-text available
School and university curricula love Homer. This is a fact. You don’t need to be a student of Classics to know who Homer was and what he wrote. Even Hollywood is familiar with his Iliad and Odyssey. What we’re interested in finding out, however, is who else and what else we are reading during our Latin and Ancient Greek lessons, and furthermore, if...
Poster
Full-text available
The Open Philology Project digitises large collections of Classical literature.
Technical Report
Full-text available
Here is an updated version of the blogpost that I published last March [link: http://goo.gl/e2rdmA] in which I gave a brief account of my experience in trying to quantify the total number of students studying the Latin and Ancient Greek languages across the world. I am extremely grateful to all the Classicists and non-Classicists out there who poin...

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Projects

Project (1)
Project
TRACER is an automatic text reuse detection machine geared towards the identification of text reuse in historical texts. Homepage available at: http://www.etrap.eu/research/tracer/