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A 30-Billion-Word Italian Discussion Board Corpus (1996–2024) for Language Modeling and Sociolinguistic Research ","10.63317\u002F5643evropidu","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-01","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.1.pdf","rinaldi-etal-2026-testimole","workshop",[2660,2663,2666],{"paper_id":2652,"author_seq":459,"given_name":2661,"surname":2662,"affiliation":135,"orcid":135},"Matteo","Rinaldi",{"paper_id":2652,"author_seq":434,"given_name":2664,"surname":2665,"affiliation":135,"orcid":135},"Rossella","Varvara",{"paper_id":2652,"author_seq":408,"given_name":2579,"surname":2580,"affiliation":135,"orcid":135},{"paper_id":2668,"title":2669,"year":7,"month":358,"day":135,"doi":2670,"resource_url":2671,"first_page":161,"last_page":2672,"pdf_url":2673,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2674,"paper_type":2658,"authors":2675,"abstract":135},"lrec2026-ws-cmlc-02","A Large Dataset Representing Bulgarian, with the Bulgarian National Corpus as Its Core ","10.63317\u002F4gxqpsnk5jz5","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-02","24","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.2.pdf","koeva-etal-2026-large",[2676,2679],{"paper_id":2668,"author_seq":459,"given_name":2677,"surname":2678,"affiliation":135,"orcid":135},"Svetla Peneva","Koeva",{"paper_id":2668,"author_seq":434,"given_name":2680,"surname":2681,"affiliation":135,"orcid":135},"Ivelina","Stoyanova",{"paper_id":2683,"title":2684,"year":7,"month":358,"day":135,"doi":2685,"resource_url":2686,"first_page":2687,"last_page":2688,"pdf_url":2689,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2690,"paper_type":2658,"authors":2691,"abstract":2695},"lrec2026-ws-cmlc-03","Merimënga: A Manifest-First Pipeline for Reproducible Albanian Web Corpus Construction ","10.63317\u002F4aesmyqqveeo","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-03","25","31","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.3.pdf","kabashi-etal-2026-merimënga",[2692,2693],{"paper_id":2683,"author_seq":459,"given_name":696,"surname":697,"affiliation":135,"orcid":135},{"paper_id":2683,"author_seq":434,"given_name":1124,"surname":2694,"affiliation":135,"orcid":135},"Ruppert","We present Merimënga, a pipeline for reproducible Albanian web-corpus construction from Common Crawl. Rather than distributing a static text dump, we publish versioned manifests and append-only JSONL ledgers that make every retrieval and filtering decision replayable at record level. Records are addressed by (WARC filename, byte offset, byte length) and retrieved via HTTP range requests with checksum validation, enabling selective download, resumability, and exact re-materialization. On top of deterministic cleaning and deduplication, Merimënga supports teacher–student filtering: a large LLM labels a stratified sample; the resulting policy is distilled into a faster student model applied at corpus scale. The paper contributes (i) a reproducibility specification for web-corpus construction based on coordinate-addressed retrieval and decision ledgers, (ii) a concrete instantiation for Albanian with language-specific filtering, and (iii) an evaluation protocol for rerun equivalence and filter-stack ablation. Large-scale download and full-corpus filtering are ongoing; this submission focuses on methodology and auditable artifacts rather than final corpus statistics. Keywords:Common Crawl, Reproducibility, Corpus Construction, Learned Filtering, Albanian",{"paper_id":2697,"title":2698,"year":7,"month":358,"day":135,"doi":2699,"resource_url":2700,"first_page":2701,"last_page":2702,"pdf_url":2703,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2704,"paper_type":2658,"authors":2705,"abstract":135},"lrec2026-ws-cmlc-04","Pop Lyrics through Time: Challenges in Corpus-Based Modeling of Linguistic and Emotional Dynamics in German Pop Lyrics ","10.63317\u002F4dh6sfnuqcnr","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-04","32","43","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.4.pdf","schneider-2026-pop",[2706],{"paper_id":2697,"author_seq":459,"given_name":474,"surname":2707,"affiliation":135,"orcid":135},"Schneider",{"paper_id":2709,"title":2710,"year":7,"month":358,"day":135,"doi":2711,"resource_url":2712,"first_page":2713,"last_page":2714,"pdf_url":2715,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2716,"paper_type":2658,"authors":2717,"abstract":2723},"lrec2026-ws-cmlc-05","The Infrastructure behind Latvian National Corpora Collection ","10.63317\u002F4cz3r3aih2t9","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-05","44","48","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.5.pdf","dargis-etal-2026-infrastructure",[2718,2720],{"paper_id":2709,"author_seq":459,"given_name":1923,"surname":2719,"affiliation":135,"orcid":135},"Dargis",{"paper_id":2709,"author_seq":434,"given_name":2721,"surname":2722,"affiliation":135,"orcid":135},"Baiba","Valkovska","The rapid advancement of digital humanities and Natural Language Processing (NLP) necessitates centralized access to high-quality, large-scale language resources. This paper presents the technical infrastructure and evolving ecosystem of Korpuss.lv, the central access platform for the Latvian National Corpora Collection (LNCC). The LNCC consolidates 42 corpora developed by 14 institutions, comprising 2.8 billion tokens of written and spoken Latvian across diverse genres and annotation layers. Korpuss.lv has evolved from a simple metadata index into a comprehensive digital infrastructure that enhances corpus discoverability, accessibility, and usability for researchers in linguistics, digital humanities, and natural language processing. The platform integrates noSketchEngine as its primary corpus analysis tool and extends its functionality with custom modules, including a metadata-driven Corpora Explorer, a client-side Federated Content Search system, and precomputed UD-based Word Sketches. The ecosystem is further supported by CLARIN DSpace repositories for persistent storage and citation management, as well as a federated academic authentication architecture built on SATOSA and Keycloak via the CLARIN Service Provider Federation. The paper outlines architectural decisions, integration strategies, and future development plans.",{"paper_id":2725,"title":2726,"year":7,"month":358,"day":135,"doi":2727,"resource_url":2728,"first_page":2729,"last_page":2730,"pdf_url":2731,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2732,"paper_type":2658,"authors":2733,"abstract":2740},"lrec2026-ws-cmlc-06","Optimized for AI: Curating the Icelandic Gigaword Corpus for Stable LLM Training ","10.63317\u002F3uatbht8mdrf","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-06","49","56","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.6.pdf","daason-etal-2026-optimized",[2734,2737],{"paper_id":2725,"author_seq":459,"given_name":2735,"surname":2736,"affiliation":135,"orcid":135},"Jón Friðrik","Daðason",{"paper_id":2725,"author_seq":434,"given_name":2738,"surname":2739,"affiliation":135,"orcid":135},"Steinþór","Steingrímsson","The Icelandic Gigaword Corpus (IGC) is a primary resource for Icelandic NLP, with its current version containing 2.7 billion words of curated text. The IGC is traditionally distributed in a TEI-XML format, a hierarchical structure that allows for rich linguistic annotation and metadata. However, this format introduces significant friction for modern machine learning workflows. Even high-quality curated corpora have been found to contain \"unwanted\" text sequences – such as fragmented lists or repetitive boilerplate that may trigger instabilities during training of large language models. In this paper, we present a new processing pipeline designed to optimize the IGC for AI development. We describe a filtering approach focusing on training stability, including fuzzy deduplication to reduce the risk of data leakage, with the aim to provide high-quality data for stable model convergence. Furthermore, we introduce a new JSONL distribution format that bridges the gap between TEI-XML and machine-actionable data, facilitating easier access and safer training for models aiming to work with Icelandic.",{"paper_id":2742,"title":2743,"year":7,"month":358,"day":135,"doi":2744,"resource_url":2745,"first_page":2746,"last_page":2747,"pdf_url":2748,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2749,"paper_type":2658,"authors":2750,"abstract":2756},"lrec2026-ws-cmlc-07","Hellenic National Corpus: The Current State ","10.63317\u002F492hm739pspc","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-07","57","62","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.7.pdf","gavriilidou-etal-2026-hellenic",[2751,2753],{"paper_id":2742,"author_seq":459,"given_name":373,"surname":2752,"affiliation":135,"orcid":135},"Gavriilidou",{"paper_id":2742,"author_seq":434,"given_name":2754,"surname":2755,"affiliation":135,"orcid":135},"Nikolaos","Sidiropoulos","The Hellenic National Corpus (HNC) is an integrated online environment offering access to standard Modern Greek language material and to related analysis tools. The HNC corpus has been developed in two main phases, and currently comprises over 97 million words exclusively of written language, sourced from printed resources or scraped from the internet. The material has been automatically lemmatized and morphologically annotated, while a subset of 100,000 words has been further manually corrected, in order to produce a freely downloadable error-free corpus. Through the dedicated platform, the users have access to concordances, morphological analysis of words and statistical information (frequency) at word, lemma, part of speech and n-gram levels. Future steps include the expansion of the material in both historical and coverage dimensions: the inclusion of material from older phases of the language is foreseen, as well as the addition of dialectal material besides standards language.",{"paper_id":2758,"title":2759,"year":7,"month":358,"day":135,"doi":2760,"resource_url":2761,"first_page":2762,"last_page":2763,"pdf_url":2764,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2765,"paper_type":2658,"authors":2766,"abstract":135},"lrec2026-ws-cmlc-08","Corpas Náisiúnta Na Gaeilge 2022-2029: A Project Overview ","10.63317\u002F4ybzkgmrs3hd","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-08","63","65","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.8.pdf","meachair-etal-2026-corpas",[2767,2770,2773,2776,2779,2781],{"paper_id":2758,"author_seq":459,"given_name":2768,"surname":2769,"affiliation":135,"orcid":135},"Mícheál J.","Ó Meachair",{"paper_id":2758,"author_seq":434,"given_name":2771,"surname":2772,"affiliation":135,"orcid":135},"Úna","Bhreathnach",{"paper_id":2758,"author_seq":408,"given_name":2774,"surname":2775,"affiliation":135,"orcid":135},"Kevin","Scannell",{"paper_id":2758,"author_seq":387,"given_name":2777,"surname":2778,"affiliation":135,"orcid":135},"Michal","Mechura",{"paper_id":2758,"author_seq":358,"given_name":1091,"surname":2780,"affiliation":135,"orcid":135},"Ó Raghallaigh",{"paper_id":2758,"author_seq":333,"given_name":2782,"surname":2783,"affiliation":135,"orcid":135},"Gearóid","Ó Cleircín",{"paper_id":2785,"title":2786,"year":7,"month":358,"day":135,"doi":2787,"resource_url":2788,"first_page":2789,"last_page":2790,"pdf_url":2791,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2792,"paper_type":2658,"authors":2793,"abstract":135},"lrec2026-ws-cmlc-09","General Regionally Annotated Corpus of Ukrainian: Recent Developments and Future Plans ","10.63317\u002F2qtbabb3qtjw","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-09","66","70","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.9.pdf","shvedova-2026-general",[2794],{"paper_id":2785,"author_seq":459,"given_name":373,"surname":2795,"affiliation":135,"orcid":135},"Shvedova",{"paper_id":2797,"title":2798,"year":7,"month":358,"day":135,"doi":2799,"resource_url":2800,"first_page":2801,"last_page":2802,"pdf_url":2803,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2804,"paper_type":2658,"authors":2805,"abstract":135},"lrec2026-ws-cmlc-10","Recent Developments of the Bulgarian National Corpus ","10.63317\u002F3m95ohtw7mjs","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-10","71","75","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.10.pdf","koeva-etal-2026-recent",[2806,2807],{"paper_id":2797,"author_seq":459,"given_name":2677,"surname":2678,"affiliation":135,"orcid":135},{"paper_id":2797,"author_seq":434,"given_name":2680,"surname":2681,"affiliation":135,"orcid":135},{"paper_id":2809,"title":2810,"year":7,"month":358,"day":135,"doi":2811,"resource_url":2812,"first_page":2813,"last_page":2814,"pdf_url":2815,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2816,"paper_type":2658,"authors":2817,"abstract":135},"lrec2026-ws-cmlc-11","The British National Corpus 1994 to 2026 ","10.63317\u002F4yzqikwnh4b8","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-11","76","77","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.11.pdf","wynne-etal-2026-british",[2818,2819],{"paper_id":2809,"author_seq":459,"given_name":1333,"surname":1334,"affiliation":135,"orcid":135},{"paper_id":2809,"author_seq":434,"given_name":2820,"surname":2821,"affiliation":135,"orcid":135},"Megan","Bushnell",{"paper_id":2823,"title":2824,"year":7,"month":358,"day":135,"doi":2825,"resource_url":2826,"first_page":2827,"last_page":2828,"pdf_url":2829,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2830,"paper_type":2658,"authors":2831,"abstract":135},"lrec2026-ws-cmlc-12","The Corpus of Contemporary Polish: 2011-2020 Decade and Beyond ","10.63317\u002F35cjnfgvskp4","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-12","78","79","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.12.pdf","kiera-etal-2026-corpus",[2832,2835,2838,2841],{"paper_id":2823,"author_seq":459,"given_name":2833,"surname":2834,"affiliation":135,"orcid":135},"Witold","Kieraś",{"paper_id":2823,"author_seq":434,"given_name":2836,"surname":2837,"affiliation":135,"orcid":135},"Małgorzata","Marciniak",{"paper_id":2823,"author_seq":408,"given_name":2839,"surname":2840,"affiliation":135,"orcid":135},"Katarzyna","Krasnowska-Kieraś",{"paper_id":2823,"author_seq":387,"given_name":2842,"surname":2843,"affiliation":135,"orcid":135},"Marcin","Woliński",{"paper_id":2845,"title":2846,"year":7,"month":358,"day":135,"doi":2847,"resource_url":2848,"first_page":2849,"last_page":2850,"pdf_url":2851,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2852,"paper_type":2658,"authors":2853,"abstract":135},"lrec2026-ws-cmlc-13","Building the v4 of the Croatian National Corpus ","10.63317\u002F48si6yrozisf","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-13","80","83","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.13.pdf","tadi-etal-2026-building",[2854,2856,2859],{"paper_id":2845,"author_seq":459,"given_name":214,"surname":2855,"affiliation":135,"orcid":135},"Tadić",{"paper_id":2845,"author_seq":434,"given_name":2857,"surname":2858,"affiliation":135,"orcid":135},"Vanja","Štefanec",{"paper_id":2845,"author_seq":408,"given_name":2860,"surname":2861,"affiliation":135,"orcid":135},"Daša","Farkaš",{"paper_id":2863,"title":2864,"year":7,"month":358,"day":135,"doi":2865,"resource_url":2866,"first_page":2867,"last_page":2868,"pdf_url":2869,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2870,"paper_type":2658,"authors":2871,"abstract":2896},"lrec2026-ws-cmlc-14","Managing Growth in a National Corpus: The Hungarian National Corpus 3.0 (MNSZ3) ","10.63317\u002F46aafswuwv4m","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-14","84","90","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.14.pdf","ligetinagy-etal-2026-managing",[2872,2875,2878,2881,2884,2887,2890,2893],{"paper_id":2863,"author_seq":459,"given_name":2873,"surname":2874,"affiliation":135,"orcid":135},"Noémi","Ligeti-Nagy",{"paper_id":2863,"author_seq":434,"given_name":2876,"surname":2877,"affiliation":135,"orcid":135},"Enikő","Héja",{"paper_id":2863,"author_seq":408,"given_name":2879,"surname":2880,"affiliation":135,"orcid":135},"Ágnes","Bánfi",{"paper_id":2863,"author_seq":387,"given_name":2882,"surname":2883,"affiliation":135,"orcid":135},"Flóra","Földesi",{"paper_id":2863,"author_seq":358,"given_name":2885,"surname":2886,"affiliation":135,"orcid":135},"Bence","Sárossy",{"paper_id":2863,"author_seq":333,"given_name":2888,"surname":2889,"affiliation":135,"orcid":135},"Boglárka","Skrabák",{"paper_id":2863,"author_seq":309,"given_name":2891,"surname":2892,"affiliation":135,"orcid":135},"Tamás","Váradi",{"paper_id":2863,"author_seq":280,"given_name":2894,"surname":2895,"affiliation":135,"orcid":135},"Gábor","Prószéky","The third generation of the Hungarian National Corpus (MNSZ3) aims to provide a large-scale, curated, and well-described corpus resource needed for the sustainable digital presence of Hungarian. Building on the domain structure and proportions of MNSZ2 (v2.0.5; 1.04 billion running words), the project targets a substantial increase in scale while also strengthening the coverage and metadata description of Hungarian language use outside Hungary. MNSZ3 retains the six traditional domains of the earlier corpus—press, fiction, scientific, official, personal, and transcribed spoken language—and is planned to reach approximately 10 billion tokens. This paper presents the motivation and design principles of the project, outlines the practical decisions and procedures used in data collection and cleaning, and discusses the annotation strategy developed for large-scale processing. In planning the linguistic analysis, we build on the complementary strengths of HuSpaCy and e-magyar: HuSpaCy provides the unified and efficient UD-oriented processing backbone, while e-magyar (emMorph) is preserved as an explicit additional layer for morphology and lemmatisation.",{"paper_id":2898,"title":2899,"year":7,"month":358,"day":135,"doi":2900,"resource_url":2901,"first_page":2902,"last_page":2903,"pdf_url":2904,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2905,"paper_type":2658,"authors":2906,"abstract":135},"lrec2026-ws-cmlc-15","CoRoLa Version 2.0: Corpus Enrichment and a New Annotation Level ","10.63317\u002F44pgxmuvou8v","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-15","91","97","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.15.pdf","irimia-etal-2026-corola",[2907,2909,2912,2915,2917,2919],{"paper_id":2898,"author_seq":459,"given_name":1405,"surname":2908,"affiliation":135,"orcid":135},"Irimia",{"paper_id":2898,"author_seq":434,"given_name":2910,"surname":2911,"affiliation":135,"orcid":135},"Verginica","Barbu Mititelu",{"paper_id":2898,"author_seq":408,"given_name":2913,"surname":2914,"affiliation":135,"orcid":135},"Radu","Ion",{"paper_id":2898,"author_seq":387,"given_name":2916,"surname":2456,"affiliation":135,"orcid":135},"Vasile",{"paper_id":2898,"author_seq":358,"given_name":373,"surname":2918,"affiliation":135,"orcid":135},"Mitrofan",{"paper_id":2898,"author_seq":333,"given_name":2920,"surname":2921,"affiliation":135,"orcid":135},"Dan Ioan","Tufis",{"paper_id":2923,"title":2924,"year":7,"month":358,"day":135,"doi":2925,"resource_url":2926,"first_page":2927,"last_page":2928,"pdf_url":2929,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2930,"paper_type":2658,"authors":2931,"abstract":2945},"lrec2026-ws-cmlc-16","The German Medical Text Corpus: Early 2026 Update ","10.63317\u002F3xopdv4wdd93","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-16","98","100","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.16.pdf","hofenbitzer-etal-2026-german",[2932,2935,2938,2941,2943],{"paper_id":2923,"author_seq":459,"given_name":2933,"surname":2934,"affiliation":135,"orcid":135},"Justin","Hofenbitzer",{"paper_id":2923,"author_seq":434,"given_name":2936,"surname":2937,"affiliation":135,"orcid":135},"Christina","Lohr",{"paper_id":2923,"author_seq":408,"given_name":2939,"surname":2940,"affiliation":135,"orcid":135},"Frank","Meineke",{"paper_id":2923,"author_seq":387,"given_name":2357,"surname":2942,"affiliation":135,"orcid":135},"Löffler",{"paper_id":2923,"author_seq":358,"given_name":1333,"surname":2944,"affiliation":135,"orcid":135},"Boeker","Clinical text resources are a central component for the study of medical language, as well as the training and evaluation of large language models, chatbots, and artificial intelligence systems supporting clinical routines. With the German Medical Text Corpus (GeMTeX), we are currently working on the largest shareable clinical document dataset in German. The multi-centric project ensures diversity across different university hospitals, clinical domains, and text sorts. After a thorough de-identification process, the clinical texts are semantically annotated using Snomed CT, a language-independent, standardized medical ontology. While the corpus is still under active development, it is accessible upon request under controlled access conditions. As of February 2026, GeMTeX comprises more than 15k documents and 20M tokens. We refer researchers interested in the resource to visit https:\u002F\u002Fkiinformatik.mri.tum.de\u002Fen\u002Fgemtex or reach out to us via gemtex.mi@mh.tum.de.",{"paper_id":2947,"title":2948,"year":7,"month":358,"day":135,"doi":2949,"resource_url":2950,"first_page":2951,"last_page":2952,"pdf_url":2953,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2954,"paper_type":2658,"authors":2955,"abstract":2960},"lrec2026-ws-cmlc-17","From Corpus to Community: New NLP Tools for Welsh Language Research and Learning ","10.63317\u002F56urzbii2rvy","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-17","101","103","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.17.pdf","knight-etal-2026-corpus",[2956,2957],{"paper_id":2947,"author_seq":459,"given_name":1962,"surname":1963,"affiliation":135,"orcid":135},{"paper_id":2947,"author_seq":434,"given_name":2958,"surname":2959,"affiliation":135,"orcid":135},"Fernando","Alva-Manchego","Launched in 2020, CorCenCC (Corpws Cenedlaethol Cymraeg Cyfoes – National Corpus of Contemporary Welsh) is the first large-scale corpus of the Welsh language to integrate spoken, written, and electronically mediated data, offering a comprehensive snapshot of contemporary Welsh use. Including contributions from over 2,000 speakers, the 11.2-million-word corpus represents the diversity of Wales’s linguistic landscape. As a national resource, CorCenCC enables users to explore real world Welsh. Several tools and resources were developed through the CorCenCC project, including the CyTag POS tagger and CySemTag (adapted from Lancaster University’s USAS semantic system), to enable the grammatical and semantic categorisation of the dataset. The team also built the pedagogic toolkit Y Tiwtiadur, to allow learners and teachers to access corpus-based examples and tasks. Additionally, Yr Amliadur provides curated frequency-based wordlists across modes and parts of speech, supporting linguistic analysis and vocabulary development. Since completing the corpus, the team has focused on extending its impact and reach, to ensure that the resources are maintained and sustained for future use; a challenge often faced when large-scale projects end. This poster profiles the tools and resources created from and inspired by CorCenCC and its associated tools and resources, as a means of supporting the democratisation of linguistic resources for minoritised language contexts.",{"paper_id":2962,"title":2963,"year":7,"month":358,"day":135,"doi":2964,"resource_url":2965,"first_page":2966,"last_page":2967,"pdf_url":2968,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2969,"paper_type":2658,"authors":2970,"abstract":2987},"lrec2026-ws-cmlc-18","Swiss-AL: Language Data Platform for Applied Sciences ","10.63317\u002F5omeepsboek4","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-18","104","105","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.18.pdf","krasselt-etal-2026-swiss",[2971,2973,2975,2978,2981,2984],{"paper_id":2962,"author_seq":459,"given_name":745,"surname":2972,"affiliation":135,"orcid":135},"Krasselt",{"paper_id":2962,"author_seq":434,"given_name":1945,"surname":2974,"affiliation":135,"orcid":135},"Dreesen",{"paper_id":2962,"author_seq":408,"given_name":2976,"surname":2977,"affiliation":135,"orcid":135},"Dolores","Lemmenmeier-Batinić",{"paper_id":2962,"author_seq":387,"given_name":2979,"surname":2980,"affiliation":135,"orcid":135},"Sooyeon","Geckeler",{"paper_id":2962,"author_seq":358,"given_name":2982,"surname":2983,"affiliation":135,"orcid":135},"Klaus","Rothenhäusler",{"paper_id":2962,"author_seq":333,"given_name":2985,"surname":2986,"affiliation":135,"orcid":135},"Matthias","Fluor","This paper introduces Swiss-AL, a language data platform designed for the multilingual, comparative analysis of public discourse in Switzerland. Swiss-AL is an open research data resource providing browser-based access to a variety of corpora in all four of Switzerland’s official languages. Corpora contain journalistic, organisational, and parliamentary discourse. The platform supports research in applied linguistics as well as neighbouring disciplines (e.g., social sciences, communication and media studies).",{"paper_id":2989,"title":2990,"year":7,"month":358,"day":135,"doi":2991,"resource_url":2992,"first_page":2993,"last_page":2994,"pdf_url":2995,"poster_url":135,"slide_url":135,"video_url":135,"supplementary_url":135,"bibkey":2996,"paper_type":2658,"authors":2997,"abstract":3015},"lrec2026-ws-cmlc-19","EuReCo, KorAP and DeReKo: Updates on Ingestion and Annotation Pipelines, Backend, Interfaces, Operation, and Corpora ","10.63317\u002F2xcbb5knp2mi","https:\u002F\u002Flrec.elra.info\u002Flrec2026-ws-cmlc-19","106","112","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002Fworkshops\u002Fcmlc\u002Fpdf\u002F2026.cmlc-1.19.pdf","kupietz-etal-2026-eureco",[2998,2999,3002,3003,3006,3009,3012],{"paper_id":2989,"author_seq":459,"given_name":616,"surname":617,"affiliation":135,"orcid":135},{"paper_id":2989,"author_seq":434,"given_name":3000,"surname":3001,"affiliation":135,"orcid":135},"Nils","Diewald",{"paper_id":2989,"author_seq":408,"given_name":619,"surname":620,"affiliation":135,"orcid":135},{"paper_id":2989,"author_seq":387,"given_name":3004,"surname":3005,"affiliation":135,"orcid":135},"Eliza","Margaretha Illig",{"paper_id":2989,"author_seq":358,"given_name":3007,"surname":3008,"affiliation":135,"orcid":135},"Helge","Stallkamp",{"paper_id":2989,"author_seq":333,"given_name":3010,"surname":3011,"affiliation":135,"orcid":135},"Uyen-Nhu","Tran",{"paper_id":2989,"author_seq":309,"given_name":3013,"surname":3014,"affiliation":135,"orcid":135},"Rameela","Yaddehige","This paper reports on recent technical developments in the European Reference Corpus EuReCo and its current technical implementation based on the corpus search and analysis platform KorAP. We describe updates to the ingestion pipeline, including extensions to the TEI-to-KorAP-XML converter tei2korapxml and the KorAP tokenizer, as well as the newly introduced korapxmltool for annotation and index conversion. We further present Koral-Mapper, a service that enables cross-schema comparability of annotations and metadata at query time, and report on developments in the backend access control system Kustvakt, the web user interface Kalamar, API client libraries for R and Python that promote reproducibility and methodologically sound AI-assisted analysis, and containerized deployment. The corpora and languages currently represented in EuReCo are outlined, and the role of the German Reference Corpus DeReKo, including its metadata-driven virtual corpus design, predefined useful subcorpora, and TEI encoding, is discussed in detail. We further present the National Libraries as Corpus approach and DeLiKo-2025@DNB as its first full-scale proof of concept, and discuss the potential of this approach for extending EuReCo with comparable contemporary fiction corpora across European countries."]