Linköping Electronic Conference Proceedings
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“Hier in diesem Hause sitzen keine Idioten!” - Emotion and Concreteness in Austrian Parliamentary Discourse
Get PDFThis study examines Austrian parliamentary discourse styles by combining utterances from the Corpus of Austrian Parliamentary Records (ParlAT; Wissik & Pirker, 2018) with a large dataset of affective norms for German (Köper & Schulte im Walde, 2016). The results suggest that parliamentary discourse styles differ significantly depending on gender, party affiliation and utterance type (regular speech vs. unauthorized utterances). The findings are discussed within the context of gendered language usage and the literature on political speech in general. In particular, we find evidence for a characteristically male right-wing populist mode of parliamentary discourse marked by negative and concrete language use and a penchant for heckling. It is also shown that discourse styles can vary over time, specifically when the parties in power change from one period to the next (e.g. a center-left/center-right coalition government following a center-right/right one)
Re-Reading Lists in Historical Newspapers: Digital Insights into an Overlooked Text Type
Get PDFThe paper presents an ongoing doctoral project dedicated to periodically published lists in historical newspapers between 1600 and 1850. By employing approaches from Corpus Linguistics and Digital Humanities, the project aims to locate the studied ‘small’ texts within existing digital resources, analyse them with regard to their textual characteristics and evaluate their potentials and challenges for automated information extraction. The article primarily focuses on two key aspects: firstly, on search strategies for locating lists in digital newspaper corpora and collections, and secondly, on a case study into lists of arriving persons published in the Wien[n]erisches Diarium between 1703 and 1725. These empirical investigations reveal that periodically published lists form a central and frequent component of early modern newspapers and offer numerous potentials for Digital Humanities research due to their textual features, such as periodicity, repetitiveness or inherent (semi-)structuredness. In this regard, the paper identifies the overlooked newspaper text type as a data treasure awaiting discovery and underscores the need to investigate ‘small’ newspaper texts on a large scale
Bodylight.js 2.0 - Web components for FMU simulation, visualisation and animation in standard web browser
Get PDFSimulators used in teaching and education comprises a mathematical model of the system under study and user interface that allows to control model inputs and visualize model state and results in an intuitive way. This paper presents web components - that can be used to build in-browser web simulator. The models used for the web simulators must be written in standard Modelica language and compiled as standard FMU (Functional mockup unit). The toolchain version Bodylight.js 2.0 contains tools to compile FMU into WebAssembly language able to be executed directly by web browser. Bodylight.js 2.0 web components can be then used to combine model, interactive animation and charts into rich web document in HTML or Markdown syntax only without any other programming or scripting
Opinions Are Buildings: Metaphors in Secondary Education Foreign Language Learning
Get PDFAutomatic metaphor detection has been an active field of research for years. Yet, it was rarely investigated how automatic metaphor detection can aid language learning. We therefore present MEWSMET, a corpus of argumentative essays written by English as Foreign Language learners annotated for metaphors. We differentiate between two kinds of metaphors: metaphors that are comprehensible to native speakers, even though they themselves would not use them (comprehensible metaphors, CMs) and metaphors that native speakers would use (target language metaphors, TLMs). We use MEWSMET in two ways: Firstly, we analyze our annotations and find out that there is a positive linear correlation between essay score and the number of TLMs, while no correlation is found between essay score and the number of CMs. Secondly, we explore how metaphor detection models perform on MEWSMET. We find that metaphor detection is a hard task given our noisy learner data, and that metaphor detection models tend to be better at identifying all metaphors (TLMs+CMs) instead of just TLMs, even though only TLMs can be used as a feature for automatic essay-scoring
Tradita innovare, innovata tradere
Get PDFSwedish computational lexicography has a long history at the University of Gothenburg, both in its primary role as a central aspect of the scientific study of vocabulary and also as an infrastructural component for conducting research based on language data. Starting in the 1960s, the Språkdata research group pioneered corpus-supported lexicography for Swedish, forming the basis for successive editions of the two main descriptive dictionaries of contemporary Swedish, SAOL and SO. Language technological lexical resources for Swedish have been developed by the research unit/research infrastructure Språkbanken Text since the turn of the millennium, most recently in the framework of the Swedish FrameNet++ initiative. After two decades of separation, these two largely mutually independently developed strands of computational lexicography have now joined forces under the umbrella of Språkbanken’s lexical research infrastructure to advance the field technically, methodologically, and scientifically
SAOL och svensk språkvetenskaplig infrastruktur – nu och i framtiden
Get PDFSvenska Akademiens ordlista (SAOL 14, 2015 [1]) spelar en viktig roll inom svensk språkvetenskaplig infrastruktur, något som framkommer i denna artikel. Vidare presenteras preliminära resultat av en undersökning av hur frekventa uppslagsorden i SAOL egentligen är i olika delkorpusar med modern allmänspråklig svenska. För att ordlistan även fortsättningsvis ska kunna användas inom svensk ordforskning, vid språkstudier m.m., men också bli mer central inom språkteknologiska sammanhang, är det avgörande att SAOL:s uppslagsord vilar på vetenskaplig grund, moderna språkteknologiska metoder och uppdaterade korpusmaterial. Fokus i artikeln ligger på de uppslagsord som inte finns belagda i korpusmaterialet, och som därmed kan tänkas mönstras ut inför den kommande femtonde upplagan
Humanistic AI: Towards a new field of interdisciplinary expertise and research
Get PDFThe Gothenburg Research Infrastructure in Digital Humanities (GRIDH) have participated in projects within various humanities fields that utilise as well as develop research tools and infrastructural resources that incorporate applications of ‘artificial intelligence’ (AI). These applications can include natural language processing, machine learning, computer vision, large language models, image recognition algorithms, classification, clustering, and deep learning. This paper advances the term ‘humanistic AI’ to describe an emergent form of interdisciplinary practice that uses and develops AI-based research applications to answer humanities research questions together with its entangled humanistic reflection. We coin this term to make implicit and visible the epistemological and material particularities of its practice and the new forms of knowledge its affordances make possible. The paper presents GRIDH projects within ‘humanistic AI’ together with its developed AI resources and applications
Documentation of data making, processing and use facilitates future reuse of research data: the CAPTURE project
Get PDFReuse of research data requires knowing what the data is about but also of how it was created and previously processed, interpreted and used. The major challenges in capturing enough – but not too much – such process information, termed paradata, are to know what to document and how to document it in adequate detail and form. This paper showcases research and findings from the ERC-funded research project CAPTURE, which develops in-depth understanding of how paradata is being created and used today and which elicits and explores methods for capturing paradata. From a research infrastructure perspective, the most challenging question for managing paradata is how to enable and support the creation of paradata that is sufficient, relevant for its future reusers, and not too labour-intensive to produce and maintain. Considering the significant extent to which paradata is coincidental and exists because of the lack of data cleaning and management, a major challenge is also how to strike a balance between too much and too little standardisation
The SSH Open Marketplace and CLARIN
Get PDFThis paper showcases the SSH Open Marketplace, which is a discovery portal which pools and contextualises resources for Social Sciences and Humanities research communities, and its tight connections with the CLARIN infrastructure. The proposal presents how the SSH Open Marketplace can provide insights into the use of tools, methods and standards in the Social Sciences and Humanities communities in general, and for the CLARIN community in particular. The paper also describes how the SSH Open Marketplace can increase serendipity in the discovery of new methods and standards, by interlinking the resources and describing workflows. As contextualisation is provided between the items of the catalogue, it is easy to understand and assess the usefulness of a resource
CLARIN in Training and Education
Get PDFTo help realise its potential as the research infrastructure for language as social and cultural data, CLARIN is supporting the training of students and scholars in using its language data, tools and services. Lecturers and teachers in the CLARIN network have integrated CLARIN language resources into higher education programmes and other training activities. This paper showcases some recent courses and training initiatives, along with inventories and new learning materials, partly developed in EU-funded projects, which are accessible through the CLARIN Learning Hub. Each section briefly describes the motivation behind the initiative, the authors’ experience, related efforts in the field, and future perspectives