Korpuslinguistik
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Negation raising and mood. A corpus-based study of Polish sądzić ‘think’ and wierzyć ‘believe’
(2021)
The paper describes the distribution of two negation raising predicates in Polish: sądzić ‛think’ and wierzyć ‛believe’ in the National Corpus of Polish with a particular focus on their morphosyntax and the mood of their clausal complements. The aim was to examine whether there are any correlations between these two parameters, and to what extent negation raising with those verbs exhibits performative features (in terms of Prince, 1976). The results of the study support the performative approach to negation raising as per Prince (1976) only for cases with subjunctive complements. The corpus findings further imply that Polish negation raising predicates encode two different degrees of (un)certainty concerning the truth of the embedded proposition depending on the mood of their complements. Structures with indicative complements express weaker uncertainty than structures with subjunctive complements.
Korpora und Fremdsprachendidaktik haben – auch jenseits des angeleiteten oder selbstgesteuerten Arbeitens an den Daten – Berührungspunkte mit langer Tradition, durchaus mit nicht-digitalen Ausläufern, deren korpuslinguistische Dimensionen erst in den letzten Jahrzehnten erschlossen wurden. Worthäufigkeitszählungen, auch vergleichend, in beliebig großen oder auf bestimmte Bedürfnisse zugeschnittenen Datensammlungen lassen sich mit weiteren Metriken verknüpfen, die eine differenzierte Bewertung für die didaktische Relevanz ermöglichen. Kollokations-/Kookkurrenzanalysen helfen, typische Formulierungsmuster zu ermitteln. Dieser Beitrag stellt zunächst diese beiden Herangehensweisen dar. Das Manko der getrennten Betrachtung ist, dass keine der beiden isoliert ausreicht, um die Angemessenheit von Formulierungen zu bewerten hinsichtlich muttersprachlicher Natürlichkeit und Weiterentwicklung des Lernstands. Als Abhilfe wird eine Verknüpfung skizziert, die beide Perspektiven zusammenbringt.
In this paper, we present an overview of freely available web applications providing online access to spoken language corpora. We explore and discuss various solutions with which the corpus providers and corpus platform developers address the needs of researchers who are working with spoken language. The paper aims to contribute to the long-overdue exchange and discussion of methods and best practices in the design of online access to spoken language corpora.
This paper describes the TEI-based ISO standard 2462:2016 “Transcription of spoken language” and other formats used within CLARIN for spoken language resources. It assesses the current state of support for the standard and the interoperability between these formats and with relevant tools and services. The main idea behind the paper is that a digital infrastructure providing language resources and services to researchers should also allow the combined use of resources and/or services from different contexts. This requires syntactic and semantic interoperability. We propose a solution based on the ISO/TEI format and describe the necessary steps for this format to work as an exchange format with basic semantic interoperability for spoken language resources across the CLARIN infrastructure and beyond.
Signposts for CLARIN
(2021)
An implementation of CMDI-based signposts and its use is presented in this paper. Arnold, Fisseni et al. (2020) present signposts as a solution to challenges in long-term preservation of corpora. Though applicable to digital resources in general, we focus on corpora, especially those that are continuously extended or subject to modification, e.g., due to legal injunctions, but also may overlap with respect to constituents, and may be subject to migrations to new data formats. We describe the contribution signposts can make to the CLARIN infrastructure, notably virtual collections, and document the design for the CMDI profile.
This paper presents the QUEST project and describes concepts and tools that are being developed within its framework. The goal of the project is to establish quality criteria and curation criteria for annotated audiovisual language data. Building on existing resources developed by the participating institutions earlier, QUEST also develops tools that could be used to facilitate and verify adherence to these criteria. An important focus of the project is making these tools accessible for researchers without substantial technical background and helping them produce high-quality data. The main tools we intend to provide are a questionnaire and automatic quality assurance for depositors of language resources, both developed as web applications. They are accompanied by a knowledge base, which will contain recommendations and descriptions of best practices established in the course of the project. Conceptually, we consider three main data maturity levels in order to decide on a suitable level of strictness of the quality assurance. This division has been introduced to avoid that a set of ideal quality criteria prevent researchers from depositing or even assessing their (legacy) data. The tools described in the paper are work in progress and are expected to be released by the end of the QUEST project in 2022.
CMDI Explorer
(2021)
We present CMDI Explorer, a tool that empowers users to easily explore the contents of complex CMDI records and to process selected parts of them with little effort. The tool allows users, for instance, to analyse virtual collections represented by CMDI records, and to send collection items to other CLARIN services such as the Switchboard for subsequent processing. CMDI Explorer hence adds functionality that many users felt was lacking from the CLARIN tool space.
Towards comprehensive definitions of data quality for audiovisual annotated language resources
(2021)
Though digital infrastructures such as CLARIN have been successfully established and now provide large collections of digital resources, the lack of widely accepted standards for data quality and documentation still makes re-use of research data a difficult endeavour, especially for more complex resource types. The article gives a detailed overview over relevant characteristics of audiovisual annotated language resources and reviews possible approaches to data quality in terms of their suitability for the current context. Conclusively, various strategies are suggested in order to arrive at comprehensive and adequate definitions of data quality for this specific resource type and possibly for digital language resources in general.
The article focuses on determining responsible parties and the division of potential liability arising from sharing language data (LD) containing personal data (PD). A key issue here is to identify who has to make sure and guarantee the GDPR compliance. The authors aim to answer 1) whether an individual researcher is a controller and 2) whether sharing LD results in joint controllership or separate controllership (whether the data's transferee becomes the controller, the joint controller or the processor). The article also analyses the legal relations of parties involved in data sharing and potential liability. The final section outlines data sharing in the CLARIN context. The analysis serves as a preliminary analytical background for redesigning the CLARIN contractual framework for sharing data.
N-grams are of utmost importance for modern linguistics and language technology. The legal status of n-grams, however, raises many practical questions. Traditionally, text snippets are considered copyrightable if they meet the originality criterion, but no clear indicators as to the minimum length of original snippets exist; moreover, the solutions adopted in some EU Member States (the paper cites German and French law as examples) are considerably different. Furthermore, recent developments in EU law (the CJEU's Pelham decision and the new right of press publishers) also provide interesting arguments in this debate. The paper presents the existing approaches to the legal protection of n-grams and tries to formulate some clear guidelines as to the length of n-grams that can be freely used and shared.