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Of all born digital objects, email is one of the most challenging to preserve in the long term. Internationally, there is already experience with archiving even large-scale correspondence, but in Hungary the development of a (public) collection-level practice is still to be seen. In order to implement international good practices and results, the Digital Humanities Centre of the National Széchényi Library has launched a pilot project to archive the entire material of the Katalist mailing list (more than 40,000 emails from the start until August 2022), which could serve as a model for further e-mail archiving tasks. Katalist is a list of library and library informatics topics, in operation since the early 1990s. The letters on the list have been preserved since 1997. It has thousands of members, its contents are publicly available and it is an important source of the history of Hungarian librarianship. In the framework of the process, the entire archive was first discovered using the ePADD software. EPADD is free and open source software developed by Stanford University's Special Collections & University Archives that supports the appraisal, processing, preservation, discovery, and delivery of historical email archives. EPADD incorporates techniques from computer science and computational linguistics, including machine learning, natural language processing, and named entity recognition to help users access and search email collections of historical and cultural value. The archive was then packaged with the Mailbagit software into an OAIS-compliant AIP package, which includes, in addition to the standard EML, other formats suitable for long-term preservation (HTML, TXT, PDF, WARC) and the extracted attachments from the emails, in accordance with the BagIt package format specifications, together with the collection-relevant metadata for the emails. The Mailbag project is a specification with an open source tool for preserving email archives using multiple formats, such as MBOX, PDF, and WARC developed by a consortium lead by M.E. Grenander Department of Special Collections & Archives, University at Albany, SUNY. The Mailbag proposal is an extension of the Library of Congress Bagit specification. The archived material will be searchable through a Solr-based search engine. During the demonstration, one can test the discovery and processing capabilities of the ePADD software on the Katalist mailing list, inspect the OAIS-compatible packages created with Mailbagit software (including testing Mailbagit on the fly, e.g. creating standard derivatives like WARC, PDF etc. from emails), and try out the Solr-based search engine.

The Middle Hungarian period, i.e. the interval time between the second third of the sixteenth century and the second third of the eighteenth century is less intensively explored so far. This also is the earliest period of the history of Hungarian for which an appropriate amount of extant text material is at our disposal for studying the language use of everyday private life with the necessary thoroughness (cf. Dömötör–Gugán–Varga 2021). The present proposal focuses on two databases designed by the presenters and their team: The Old and Middle Hungarian corpus of informal language use (Történeti Magánéleti Korpusz, TMK) and The corpus of memoirs and dramas (Középmagyar emlékirat- és drámakorpusz). Both of the corpora contain texts representing important sources of the cultural heritage of Hungarian: ego-documents from noblemen and noblewomen, genres related to everyday language use involving speakers with lower social status as well, and constructed dialogs imitating everyday language use in fiction. The Old and Middle Hungarian corpus of informal language use (tmk.nytud.hu) consists of private letters and records of witch trials from between the fifteenth-century beginnings and 1772, a total of 8 million characters. This presentation highlights some requirements and steps of the corpus building executed by the historical linguists in a collaboration with the computational linguist. It includes the manual normalization and disambiguation for diachronic adequacy, the morphological analysis and query interface. This database is the first fully normalized and annotated historical corpus of Hungarian completed with sociolinguistic information (Novák–Gugán–Varga–Dömötör 2018). The other topic of the presentation is The corpus of memoirs and dramas, the building of which is in progress following the guidelines developed for the previous corpus (cf. Gugán 2020). The language use of memoires and dramas in Middle Hungarian proved to be suitable as an extension to the more directly speech-related sources of TMK. Memoires are ego-documents, yet they are still farther from informal language use than private letters. Dramas are constructed texts, however, they are speech-purposed as well. Therefore, the four registers to be included all share certain characteristics, but each differs in at least one feature. In both corpora, all of the records are normalized and morphologically annotated. The new corpus is also planned to get a freely available user-friendly query interface, providing a valuable source of information for historical linguists and specialists or students of related fields.

AbstractThis paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17 European national parliaments with half a billion words. The corpora are uniformly encoded, contain rich meta-data about 11 thousand speakers, and are linguistically annotated following the Universal Dependencies formalism and with named entities. Samples of the corpora and conversion scripts are available from the project’s GitHub repository, and the complete corpora are openly available via the CLARIN.SI repository for download, as well as through the NoSketch Engine and KonText concordancers and the Parlameter interface for on-line exploration and analysis.

New software paradigm for linguistic/phonetic tools: webservices.Webservices as building blocks for complex systems.BAS CLARIN webservices: a free service to the scientific community.Multilingual automatic segmentation and labelling of speech into words and phones.Multilingual automatic text-to-phoneme conversion webservice. A new software paradigm `Software as a Service' based on web services is proposed for multilingual linguistic tools and exemplified with the BAS CLARIN web services. Instead of traditional tool development and distribution the tool functionality is implemented on a highly available server that users or applications access via HTTP requests. As examples we describe in detail five multilingual web services for speech science operational since 2012 and discuss the benefits and drawbacks of the new paradigm as well as our experiences with user acceptance and implementation problems. The services include automatic segmentation of speech, grapheme-to-phoneme conversion, syllabification, speech synthesis, and optimal symbol sequence alignment.

Abstract The paper presents the results of the ParlaMint II project, which comprise comparable corpora of parliamentary debates of 29 European countries and autonomous regions, covering at least the period from 2015 to 2022, and containing over 1 billion words. The corpora are uniformly encoded, contain rich metadata about their 24 thousand speakers, and are linguistically annotated up to the level of Universal Dependencies syntax and named entities. The paper focuses on the enhancement made since the ParlaMint I project and presents the compilation of the corpora, including the encoding infrastructure, use of GitHub, the production of individual corpora, the common pipeline for producing their distribution, and use of CLARIN services for dissemination. It then gives a quantitative overview of the produced corpora, followed by the qualitative additions made within the ParlaMint II project, namely metadata localisation, the addition of new metadata, such as the political orientation of political parties, the machine translation of the corpora to English and its tagging with semantic classes, and the production of pilot speech corpora. Finally, outreach activities and further work are discussed.

This document expands on and provides nuance to some of the concepts defined in the EOSC Interoperability Framework report from the EOSC Executive Board Working Groups (WG) FAIR and Architecture published in 2021 and the conceptualisation of an EOSC Interoperability Framework that it embodies (EOSC-IF). It accounts for a deep-dive into the landscape of semantic interoperability implementations and a wide range of interoperability scenarios focused around the Semantic Interoperability Specification, some subtypes of Semantic Business Objects, as well as the Semantic Artefact Catalogue and Mapping Repository. A small set of new concepts of relevance to this work and to EOSC at large have also been added. The introduction provides context to the creation of this report, the basic concepts section provides and overview of the related components of the EOSC-IF, and the following four sections summarise explorations that frame the concluding set of recommendations to the EOSC community at large. The explorations that frame the recommendations are titled as follows: The Semantic Interoperability Specification: Implementation profiles for communities The Semantic Artefact Catalogue: Twelve maturity dimensions The Mapping Repository: Making a case for FAIR mappings and crosswalks Implementation examples: Common use cases and real-world case studies The recommendations themselves are organised under the following five broad categories: Align emerging adaptations and implementations to the Semantic View of the EOSC-IF (pp. 39–42) reference architecture. Identify and consolidate different approaches to representing and exchanging (meta)data with the FAIR Digital Objects model described in the EOSC-IF (pp. 29–34). Extend the EOSC-IF to include a research process perspective that can support convergence on solutions for common use cases. Extend the set of Semantic Business Objects described in the EOSC-IF (pp. 40–41) to include artefacts such as mappings and crosswalks. Recognise Semantic Artefact Catalogue component described in the EOSC-IF (p. 42) as a critical part of the long-term viability of any research data infrastructure. This is a report of the EOSC Association’s Task Force Semantic Interoperability (2021–2023). The document was developed in continuous consultation with the task force membership (September 2023–March 2024), where a subgroup of the membership actively contributed to authoring the text. The document was submitted to EOSC Association’s Quality Review Committee (QRC) and an open community consultation on 18 January. The response to the reviewer’s comments was submitted on 12 March and the current version was approved with minor revisions on 27 March. Read more about the EOSC Association, the role of its task forces and the task forces’ membership on the eosc.eu website.

E dolgozat célja, hogy bemutassa az AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Texts) többnyelvű kutatási eszköz működéséhez kapcsolódó munkafolyamatot és a különböző elemzőfunkciókat. A webes alkalmazás segítségével nagy mennyiségű metaadatot és szöveget lehet feldolgozni és kritikusan elemezni adatvezérelt, mesterséges intelligenciával és természetesnyelvfeldolgozásos technológiákkal támogatott módszerekkel és eszközökkel. Az AVOBMAT szöveg- és adatbányászati eszköz újdonságai a következők: (i) számos nyelven képes előfeldolgozni, (szemantikusan) gazdagítani és elemezni metaadatokat és szövegeket; (ii) a beépített funkciók lehetőséget biztosítanak a szoros és távoli olvasásra egyaránt; (iii) egy felhasználóbarát, interaktív grafikus felületen integrál metaadat és szövegelemzéssel kapcsolatos kutatási eszközöket. A platformfüggetlen alkalmazás elsősorban olyan felhasználók számára lett kifejlesztve, akik nem rendelkeznek programozási ismeretekkel. Az egyszerűen használható felület interaktív paraméterbeállítást és vezérlést biztosít a normalizálást is támogató előfeldolgozástól az analitikai szakaszokig. A felhasználók interaktív módon kísérletezhetnek az elemzések különböző beállításaival a munkafolyamat során. Ezáltal az AVOBMAT segít felismerni a számítógépes szöveg- és adatelemzés episztemológiai kihívásait, korlátait és erősségeit, valamint kritikus módon értelmezni az alkalmazott módszereket és eredményeket.

This chapter explores some of the aspects underlying the domain-specific, epistemic processes that pose challenges to the FAIRification of knowledge creation in arts and humanities. Tóth-Czifra argues that the FAIR principles (findability, accessibility, interoperability, and reusability) have been designed according to underlying assumptions about how knowledge creation operates and communicates. This causes issues in productive reuse of digitised cultural heritage resources and legal barriers can prevent institutions from sharing metadata online, which can further skew research towards what is easily available and free to find online. However, standardisation of shared metadata can also have epistemological challenges and affect the systems of discovery and knowledge creation — a price which Tóth-Czifra argues is too high. She argues that in order to be truly reusable, data should achieve autonomy from their curator, and by bringing scholarly communication, data sharing and academic publishing together, we can reach a more sustainable research data management ecosystem. Relying on domain-relevant community standards as well as increasing the social life of data is critical to avoid having deposited datasets being buried in isolated ‘data tombs’.