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LInfoVis

Name: Proceedings of 'VisLR III: The 3rd Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources' at LREC 2018
Author: El-Assady M, Hautli-Janisz A, Lyding V

Visualisierung linguistischer Informationen (LInfoVis)

Im Projekt LInfoVis werden innovative Ansätze zur visuellen Darstellung linguistischer Daten entwickelt. Ausgehend von allgemeinen Ansätzen und Verfahren der Datenvisualisierung und basierend auf bestehenden Datenressourcen des Instituts werden wir an Visualisierungsformen linguistischer Informationen zu Forschungs- und Sprachlehrzwecken sowie zur Entwicklung diverser Softwareanwendungen arbeiten.
Darüber hinaus verfolgen wir mit dem Projekt das Ziel, Kontakte zu der Forschungsgemeinschaft aktiv auf- und auszubauen, um Informationen auszutauschen und zum Vorankommen der Visualisierung von Sprachdaten beizutragen.

Project duration: January 2009 - December 2017
Project status:
Website: www.eurac.edu/linfovis
Institute: Institut für Angewandte Sprachforschung

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Scientific Publications

Edited book2020

LingVis: Visual Analytics for Linguistics

Butt M, Hautli-Janisz A, Lyding V

ISBN: 9781684000340

This volume collects landmark research in a burgeoning field of visual analytics for linguistics, called LingVis. Combining linguistic data and linguistically oriented research questions with techniques and methodologies developed in the computer science fields of visual analytics and information visualization, LingVis is motivated by the growing need within linguistic research for dealing with large amounts of complex, multidimensional data sets. An innovative exploration into the future of LingVis in the digital age, this foundational book both provides a representation of the current state of the field and communicates its new possibilities for addressing complex linguistic questions across the larger linguistic community.

Quelle

Edited book2018

Proceedings of 'VisLR III: The 3rd Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources' at LREC 2018

El-Assady M, Hautli-Janisz A, Lyding V

ISBN: 979-10-95546-13-9

While “traditional” language resources, ranging from multi-layered treebanks to linked ontologies, encode complex linguistic information, data analysis in the online world faces yet another set of challenges: Data is generated around the clock, comes in huge quantities and reflects events in the digital world in real-time. With this type of data at hand, we need to think about novel ways of visually encoding properties of language, not only to respond to certain trends such as hate speeches and cyber-bullying, but also to investigate the development of language in a more general manner. Visualization offers new methods for processing and analysing online data, and as such, the workshop fits squarely into this year’s hot topic ‘LRs in the Online World’. VisLR III also promotes LREC’s general objectives of bringing together related disciplines. We particularly reach out to disciplines starting to use language resources and visualization to develop their own research agendas, such as the social sciences

Quelle

Conference proceedings article2016

Visual Corpus Interface: Putting Text Visualizations at Use

Lyding V, Généreux M

This paper presents the visual corpus interface created within the OPATCH project ('Open Platform for access to and Analysis of Textual documents of Cultural Heritage'). The interface combines a set of visualizations for textual data and language features with the aim to support linguistic analysis. The paper describes the choice of visualizations, their interlinking and their integration with a corpus search engine. It discusses challenges related to data handling and usage scenarios and lays out open needs for future work.

DOI Quelle

DOI: 10.1109/IV.2016.40

Inbook2011

Corpus Clouds: Facilitating Text Analysis by Means of Visualizations

Culy C, Lyding V

ISBN: 978-3-642-20094-6

Large text corpora are a main language resource for the human-driven analysis of linguistic phenomena. With the ever increasing amount of data, it is vital to find ways to help people understand the data, and visualization techniques provide one way to do that. Corpus Clouds is a program which pro-vides visualizations of different types of frequency information dynamically de-rived from a corpus via a standard query system, integrated with a standard KWIC display. We apply established principles from information visualization to provide dynamic, interactive representations of the query results. The se-lected design principles and alternatives to the implementation will be discussed and a preview on what other types of information connected to corpora can be visualized in similar ways are provided. Corpus Clouds can thus be seen as an-swer to the call by Collins et al. [1] to design in a principled way new visualiza-tion tools for linguistic data.

DOI Quelle

DOI: 10.1007/978-3-642-20095-3_32

All Publications

LingVis: Visual Analytics for Linguistics
Butt M, Hautli-Janisz A, Lyding V (2020)
Stanford, California: CSLI Publications/Center for the Study of Language & Information
9781684000340
(CSLI lecture notes)
Buch (Herausgeber)

Weitere Informationen: https://web.stanford.edu/group/cslipublications/cslipubl ...

https://hdl.handle.net/10863/18698

Proceedings of 'VisLR III: The 3rd Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources' at LREC 2018
El-Assady M, Hautli-Janisz A, Lyding V (2018)
European Language Resources Association (ELRA)
979-10-95546-13-9
Buch (Herausgeber)

Weitere Informationen: http://lrec-conf.org/workshops/lrec2018/W16/index.html

https://hdl.handle.net/10863/14744

Visual Corpus Interface: Putting Text Visualizations at Use
Lyding V, Généreux M (2016)
Beitrag in Konferenzband

Conference: 20th International Conference on Information Visualisation | IV 2016 | Lisbon : 19.7.2016 - 22.7.2016

Weitere Informationen: https://ieeexplore.ieee.org/document/7557947

https://doi.org/10.1109/IV.2016.40

https://hdl.handle.net/10863/19623

Project Team

Verena Ruth Hilde Lyding

Project Manager

Lionel Nicolas

Egon W. Stemle

Scientific Advisory Board

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