Refine
Year of publication
- 2019 (23) (remove)
Document Type
- Part of a Book (23) (remove)
Keywords
- Deutsch (8)
- Korpus <Linguistik> (4)
- Sprachkritik (3)
- Automatische Sprachanalyse (2)
- Automatische Sprachverarbeitung (2)
- Computerlinguistik (2)
- Deutschunterricht (2)
- Gestik (2)
- Grammatik (2)
- Social Media (2)
Publicationstate
- Veröffentlichungsversion (23) (remove)
Reviewstate
- (Verlags)-Lektorat (14)
- Peer-Review (8)
Publisher
- Heidelberg University Publishing (3)
- Leibniz-Institut für Deutsche Sprache (IDS) (3)
- Narr (3)
- German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg (2)
- The Association for Computational Linguistics (2)
- Dudenverlag (1)
- Lang (1)
- Lexical Computing CZ s.r.o. (1)
- MIT Press (1)
- Paderborn University (1)
Forms of verbal violence, such as Hate Speech and Cyberbullying, currently are issues with high societal relevance. In the social discourse they are associated with brutalization of social interaction. Against this background it is necessary to integrate the topic into school lessons. This chapter outlines a teaching unit on verbal violence in the digital age. It has been developed together with students and can therefore be used in German classes but it is also relevant for use in academic teaching.
Vorwort
(2019)
Variation im Sprachgebrauch - 'angenommen' und 'vorausgesetzt' als einbettende Prädikatsausdrücke
(2019)
We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependencybased and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.
Looking at gestures as a means for communication, they can serve conversational participants at several levels. As co-speech gestures, they can add information to the verbally expressed content and they can serve to manage turn-taking. In order to look closer at the interplay between these resources in face-to face conversation, we annotated hand gestures, syntactic completion points and the related turn-organisation, and measured the timing of gesture strokes and their lexical/phrasal referent. In a case study on German, we observe the trend that speakers vary less in gesturelexis on- and offsets when keeping the turn after syntactic completions than at speaker changes, backchannel or other locations of a conversation. This indicates that timing properties of non-verbal cues interact with verbal cues to manage turn-taking.
Man muss glaube ich unterscheiden. Poetisch zu sein ist das eine, literarisch das andere. Das lässt sich auch auf die zugehörigen schwierigen Substantive beziehen, die Literarizität und die Poetizität. Und dann kann man auch über die poetische Funktion nachdenken, einem Postulat aus der Ergänzung der Bühler’schen Funktionstrias im Kontext des Prager Funktionalismus, die wir Roman Jakobson verdanken. Dass man unterscheiden muss, gilt vor allem oder auch noch mehr in einer nicht mehr (so) regelgeleiteten Moderne – und für eine sprachwissenschaftlich basierte Antwort.
Für das Deutsche gibt es keine staatliche Institution, abgesehen vom Rat für deutsche Rechtschreibung, die den politischen Auftrag hat, sprachliche Normierung und schließlich die Standardisierung einer Nationalsprache legitimiert zu begleiten. Vor diesem Hintergrund werden in dem Artikel die verschiedenen nichtstaatlichen Sprachinstitutionen im Deutschen dargelegt. Im deutschen Sprachraum waren die Sprachakademien der Nachbarländer stets Vorbild, herausgebildet haben sich aber vor allem Sprachgesellschaften und Sprachvereine, die sich sprachkultivierend einbrachten.
We present an approach for automatic detection and correction of OCR-induced misspellings in historical texts. The main objective is the post-correction of the digitized Royal Society Corpus, a set of historical documents from 1665 to 1869. Due to the aged material the OCR procedure has made mistakes, thus leading to files corrupted by thousands of misspellings. This motivates a post processing step. The current correction technique is a pattern-based approach which due to its lack of generalization suffers from bad recall.
To generalize from the patterns we propose to use the noisy channel model. From the pattern based substitutions we train a corpus specific error model complemented with a language model. With an F1-Score of 0.61 the presented technique significantly outperforms the pattern based approach which has an F1-score of 0.28. Due to its more accurate error model it also outperforms other implementations of the noisy channel model.