Search Results for author: Stefanie Dipper

Found 14 papers, 0 papers with code

Automatic Orality Identification in Historical Texts

no code implementations LREC 2020 Katrin Ortmann, Stefanie Dipper

Independently of the medial representation (written/spoken), language can exhibit characteristics of conceptual orality or literacy, which mainly manifest themselves on the lexical or syntactic level.

The making of the Litkey Corpus, a richly annotated longitudinal corpus of German texts written by primary school children

no code implementations WS 2019 Ronja Laarmann-Quante, Stefanie Dipper, Eva Belke

To date, corpus and computational linguistic work on written language acquisition has mostly dealt with second language learners who have usually already mastered orthography acquisition in their first language.

Language Acquisition POS

Variation between Different Discourse Types: Literate vs. Oral

no code implementations WS 2019 Katrin Ortmann, Stefanie Dipper

This paper deals with the automatic identification of literate and oral discourse in German texts.

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

no code implementations14 Sep 2018 Uwe Springmann, Christian Reul, Stefanie Dipper, Johannes Baiter

In this paper we describe a dataset of German and Latin \textit{ground truth} (GT) for historical OCR in the form of printed text line images paired with their transcription.

Optical Character Recognition (OCR) Test

Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey

no code implementations CL 2018 Varada Kolhatkar, Adam Roussel, Stefanie Dipper, Heike Zinsmeister

Most of the existing approaches to anaphora annotation and resolution focus on nominal-antecedent anaphora, classifying many of the cases where the antecedents are syntactically non-nominal as non-anaphoric.

Machine Translation Question Answering

Investigating Diatopic Variation in a Historical Corpus

no code implementations WS 2017 Stefanie Dipper, S Waldenberger, ra

This paper investigates diatopic variation in a historical corpus of German.

The Use of Parallel and Comparable Data for Analysis of Abstract Anaphora in German and English

no code implementations LREC 2012 Stefanie Dipper, Melanie Seiss, Heike Zinsmeister

Motivated by the need to use a parallel resource for cross-linguistic feature induction in abstract anaphora resolution, this paper investigates properties of English and German texts in the Europarl corpus, taking into account both general features such as sentence length as well as task-dependent features such as the distribution of demonstrative noun phrases.

Abstract Anaphora Resolution Translation

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