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Found 14 papers, 0 papers with code
Automatic Orality Identification in Historical Texts
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
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.
Variation between Different Discourse Types: Literate vs. Oral
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Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
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.
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey
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.
Annotating Orthographic Target Hypotheses in a German L1 Learner Corpus
NLP applications for learners often rely on annotated learner corpora.
Investigating Diatopic Variation in a Historical Corpus
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
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.
