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  1. CLARIN’s virtual language observatory (VLO) under scrutiny - the VLO taskforce of the CLARIN-D centres
    Autor*in: Haaf, Susanne ; Fankhauser, Peter ; Trippel, Thorsten ; Eckart, Kerstin ; Hedeland, Hanna ; Herold, Axel ; Knappen, Jörg ; Schiel, Florian ; Stegmann, Jens ; Van Uytvanck, Dieter
    Erschienen: 2014

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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Germanische Sprachen; Deutsch (430)
    Lizenz:

    creativecommons.org/licenses/by/3.0/de/deed.de ; info:eu-repo/semantics/openAccess
  2. Combining macro- and microanalysis for exploring the construal of scientific disciplinarity
    Autor*in: Fankhauser, Peter ; Kermes, Hannah ; Teich, Elke
    Erschienen: 2014
    Verlag:  Lausanne : Universität Lausanne

  3. Analyzing domain specific word embeddings for a large corpus of contemporary German. International Corpus Linguistics Conference, Cardiff, Wales, UK, July 22-26, 2019
    Autor*in: Fankhauser, Peter ; Kupietz, Marc
    Erschienen: 2019
    Verlag:  Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Distributional models of word use constitute an indispensable tool in corpus based lexicological research for discovering paradigmatic relations and syntagmatic patterns (Belica et al. 2010). Recently, word embeddings (Mikolov et al. 2013) have... mehr

     

    Distributional models of word use constitute an indispensable tool in corpus based lexicological research for discovering paradigmatic relations and syntagmatic patterns (Belica et al. 2010). Recently, word embeddings (Mikolov et al. 2013) have revived the field by allowing to construct and analyze distributional models on very large corpora. This is accomplished by reducing the very high dimensionality of word cooccurrence contexts, the size of the vocabulary, to few dimensions, such as 100-200. However, word use and meaning can vary widely along dimensions such as domain, register, and time, and word embeddings tend to represent only the most prevalent meaning. In this paper we thus construct domain specific word embeddings to allow for systematically analyzing variations in word use. Moreover, we also demonstrate how to reconstruct domain specific co-occurrence contexts from the dense word embeddings.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus; Phrase <Syntagma>; Automatische Sprachanalyse; Deutsch
    Lizenz:

    creativecommons.org/licenses/by/4.0/deed.de ; info:eu-repo/semantics/openAccess
  4. Evaluating a Dependency Parser on DeReKo
    Autor*in: Fankhauser, Peter ; Do, Bich-Ngoc ; Kupietz, Marc
    Erschienen: 2020
    Verlag:  Paris : European Language Resources Association

    We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German. The dependency parser is trained on the German dataset from the SPMRL 2014 Shared Task which contains text from the news domain, whereas DeReKo also covers... mehr

     

    We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German. The dependency parser is trained on the German dataset from the SPMRL 2014 Shared Task which contains text from the news domain, whereas DeReKo also covers other domains including fiction, science, and technology. To avoid the need for costly manual annotation of the corpus, we use the parser’s probability estimates for unlabeled and labeled attachment as main evaluation criterion. We show that these probability estimates are highly correlated with the actual attachment scores on a manually annotated test set. On this basis, we compare estimated parsing scores for the individual domains in DeReKo, and show that the scores decrease with increasing distance of a domain to the training corpus.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus; Parser; Evaluation; Zuverlässigkeit; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by-nc/4.0/ ; info:eu-repo/semantics/openAccess
  5. Topical Diversification Over Time In The Royal Society Corpus
    Autor*in: Fankhauser, Peter ; Knappen, Jörg ; Teich, Elke
    Erschienen: 2016
    Verlag:  Kraków : Jagiellonian University; Pedagogical University

  6. Kuration und Exploration des Korpus "Diskurs in der Weimarer Republik"
    Autor*in: Fankhauser, Peter
    Erschienen: 2016
    Verlag:  Duisburg : Nisaba

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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Deutsch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Langzeitarchivierung; Korpus
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  7. Visualizing Language Change in a Corpus of Contemporary German
    Autor*in: Fankhauser, Peter ; Kupietz, Marc
    Erschienen: 2017
    Verlag:  Birmingham : University of Birmingham

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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Sprachwandel; Semasiologie; Korpus; Visualisierung
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  8. Visual Correlation for Detecting Patterns in Language Change
    Autor*in: Fankhauser, Peter ; Kupietz, Marc
    Erschienen: 2017
    Verlag:  Zürich : Universität Zürich

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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Sprachwandel; Semasiologie; Korpus; Zeitung; Visualisierung
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  9. On the role of historical newspapers in disseminating foreign words in german
    Autor*in: Pfefferkorn, Oliver ; Fankhauser, Peter
    Erschienen: 2014
    Verlag:  Reykjavik : European Language Resources Association (ELRA)

    Newspapers became extremely popular in Germany during the 18th and 19th century, and thus increasingly influential for modern German. However, due to the lack of digitized historical newspaper corpora for German, this influence could not be analyzed... mehr

     

    Newspapers became extremely popular in Germany during the 18th and 19th century, and thus increasingly influential for modern German. However, due to the lack of digitized historical newspaper corpora for German, this influence could not be analyzed systematically. In this paper, we introduce the Mannheim Corpus of Digital Newspapers and Magazines, which in its current release comprises 21 newspapers and magazines from the 18th and 19th century. With over 4.1 Mio tokens in about 650 volumes it currently constitutes the largest historical corpus dedicated to newspapers in German. We briefly discuss the prospect of the corpus for analyzing the evolution of news as a genre in its own right and the influence of contextual parameters such as region and register on the language of news. We then focus on one historically influential aspect of newspapers – their role in disseminating foreign words in German. Our preliminary quantitative results indeed indicate that newspapers use foreign words significantly more frequently than other genres, in particular belles lettres.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Varianten des Deutschen (437)
    Schlagworte: Historische Sprachwissenschaft; Korpus; Zeitschrift; Sprachvariante
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  10. Data-driven identification of idioms in song lyrics
    Autor*in: Amin, Miriam ; Fankhauser, Peter ; Kupietz, Marc ; Schneider, Roman
    Erschienen: 2021
    Verlag:  Stroudsburg : Association for Computational Linguistics ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    The automatic recognition of idioms poses a challenging problem for NLP applications. Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is... mehr

     

    The automatic recognition of idioms poses a challenging problem for NLP applications. Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is still ample scope for improvement regarding computational approaches. We assume that idiomatic constructions can be characterized by gradual intensities of semantic non-compositionality, formal fixedness, and unusual usage context, and introduce a number of measures for these characteristics, comprising count-based and predictive collocation measures together with measures of context (un)similarity. We evaluate our approach on a manually labelled gold standard, derived from a corpus of German pop lyrics. To this end, we apply a Random Forest classifier to analyze the individual contribution of features for automatically detecting idioms, and study the trade-off between recall and precision. Finally, we evaluate the classifier on an independent dataset of idioms extracted from a list of Wikipedia idioms, achieving state-of-the art accuracy.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Phraseologie; Lyrics <Lyrik>; Automatische Spracherkennung; Automatische Sprachanalyse; Komposition <Wortbildung>; Semantik; Deutsch
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  11. Count-based and predictive language models for exploring DeReKo
    Autor*in: Fankhauser, Peter ; Kupietz, Marc
    Erschienen: 2022
    Verlag:  Paris : European Language Resources Association (ELRA) ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo. For collocation analysis along the syntagmatic axis we employ traditional association measures based on co-occurrence... mehr

     

    We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo. For collocation analysis along the syntagmatic axis we employ traditional association measures based on co-occurrence counts as well as predictive association measures derived from the output weights of skipgram word embeddings. For inspecting the semantic neighbourhood of words along the paradigmatic axis we visualize the high dimensional word embeddings in two dimensions using t-stochastic neighbourhood embeddings. Together, these visualizations provide a complementary, explorative approach to analysing very large corpora in addition to corpus querying. Moreover, we discuss count-based and predictive models w.r.t. scalability and maintainability in very large corpora.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus; Deutsch; Kollokation; Syntagma; Assoziationsmaß; Paradigma
    Lizenz:

    creativecommons.org/licenses/by-nc/4.0/ ; info:eu-repo/semantics/openAccess
  12. Shallow context analysis for German idiom detection
    Autor*in: Amin, Miriam ; Fankhauser, Peter ; Kupietz, Marc ; Schneider, Roman
    Erschienen: 2023
    Verlag:  Genf : Zenodo ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    In order to differentiate between figurative and literal usage of verb-noun combinations for the shared task on the disambiguation of German Verbal Idioms issued for KONVENS 2021, we apply and extend an approach originally developed for detecting... mehr

     

    In order to differentiate between figurative and literal usage of verb-noun combinations for the shared task on the disambiguation of German Verbal Idioms issued for KONVENS 2021, we apply and extend an approach originally developed for detecting idioms in a dataset consisting of random ngram samples. The classification is done by implementing a rather shallow, statistics-based pipeline without intensive preprocessing and examinations on the morphosyntactic and semantic level. We describe the overall approach, the differences between the original dataset and the dataset of the KONVENS task, provide experimental classification results, and analyse the individual contributions of our feature sets.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Kontextanalyse; Deutsch; Phraseologie; Datensatz; Automatische Sprachanalyse; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  13. A distributional comparison between FOLK and DeReKo
    Autor*in: Kupietz, Marc ; Fankhauser, Peter ; Ruppenhofer, Josef
    Erschienen: 2023
    Verlag:  Lancaster : Lancaster University ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus; Sprachgebrauch; Gesprochene Sprache; Schriftsprache; Deutsch; Semantik
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  14. OCR post-correction of the Royal Society Corpus based on the noisy channel model
    Autor*in: Klaus, Carsten ; Klakow, Dietrich ; Fankhauser, Peter
    Erschienen: 2019
    Verlag:  Bremen : Deutsche Gesellschaft für Sprachwissenschaft

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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: OCR-Schrift; Korrektur; Automatische Sprachverarbeitung
    Lizenz:

    creativecommons.org/licenses/by-nc-sa/4.0/deed.de ; info:eu-repo/semantics/openAccess
  15. Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers
    Autor*in: Degaetano-Ortlieb, Stefania ; Fankhauser, Peter ; Kermes, Hannah ; Lapshinova-Koltunski, Ekaterina ; Ordan, Noam ; Teich, Elke
    Erschienen: 2014
    Verlag:  Reykjavik : European Language Resources Association (ELRA)

    We present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features. The focus is on selected scientific disciplines at the boundaries to... mehr

     

    We present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features. The focus is on selected scientific disciplines at the boundaries to computer science (computational linguistics, bioinformatics, digital construction, microelectronics). The data basis is the English Scientific Text Corpus (SCITEX) which covers a time range of roughly thirty years (1970/80s to early 2000s) (Degaetano-Ortlieb et al., 2013; Teich and Fankhauser, 2010). In particular, we investigate the diversification of scientific registers over time. Our theoretical basis is Systemic Functional Linguistics (SFL) and its specific incarnation of register theory (Halliday and Hasan, 1985). In terms of methods, we combine corpus-based methods of feature extraction and data mining techniques.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Linguistik (410)
    Schlagworte: Korpus
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  16. Exploring and visualizing variation in language resources
    Autor*in: Fankhauser, Peter ; Knappen, Jörg ; Teich, Elke
    Erschienen: 2014
    Verlag:  Reykjavik : European Language Resources Association (ELRA)

    Language resources are often compiled for the purpose of variational analysis, such as studying differences between genres, registers, and disciplines, regional and diachronic variation, influence of gender, cultural context, etc. Often the sheer... mehr

     

    Language resources are often compiled for the purpose of variational analysis, such as studying differences between genres, registers, and disciplines, regional and diachronic variation, influence of gender, cultural context, etc. Often the sheer number of potentially interesting contrastive pairs can get overwhelming due to the combinatorial explosion of possible combinations. In this paper, we present an approach that combines well understood techniques for visualization heatmaps and word clouds with intuitive paradigms for exploration drill down and side by side comparison to facilitate the analysis of language variation in such highly combinatorial situations. Heatmaps assist in analyzing the overall pattern of variation in a corpus, and word clouds allow for inspecting variation at the level of words.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Varianten des Englischen, Mittelenglisch (427)
    Schlagworte: Amerikanisches Englisch; Englisch; Korpus; Sprachvariante; Kontrastive Linguistik; Visualisierung
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  17. What's New in EuReCo? Interoperability, Comparable Corpora, Licensing
    Autor*in: Kupietz, Marc ; Margaretha, Eliza ; Diewald, Nils ; Lüngen, Harald ; Fankhauser, Peter
    Erschienen: 2019
    Verlag:  Mannheim : Leibniz-Institut für Deutsche Sprache

    This paper reports on the latest developments of the European Reference Corpus EuReCo and the German Reference Corpus in relation to three of the most important CMLC topics: interoperability, collaboration on corpus infrastructure building, and legal... mehr

     

    This paper reports on the latest developments of the European Reference Corpus EuReCo and the German Reference Corpus in relation to three of the most important CMLC topics: interoperability, collaboration on corpus infrastructure building, and legal issues. Concerning interoperability, we present new ways to access DeReKo via KorAP on the API and on the plugin level. In addition we report about advancements in the EuReCo- and ICC-initiatives with the provision of comparable corpora, and about recent problems with license acquisitions and our solution approaches using an indemnification clause and model licenses that include scientific exploitation.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus
    Lizenz:

    creativecommons.org/licenses/by/4.0/deed.de ; info:eu-repo/semantics/openAccess