Challenge: Parallel corpora are scarce for most of the world's language pairs.
Approach: They propose to extend ParCoLab with a parallel corpus for Alsatian, Corsican, Occitan and Poitevin-Saintongeais.
Outcome: The proposed corpus contains more than 20k tokens per regional language.

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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus (2021.acl-demo)

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Challenge: 7000 languages worldwide are spoken, but most research is focused on English . multilinguality is essential for multilingual research, and is a key component of the process.
Approach: They propose a wordaligned parallel corpus that can be browsed using an online tool . they use the word alignment tools SimAlign and BabelNet to find the alignments .
Outcome: The proposed tool can be set up for any parallel corpus and explores its quality and properties.
Corpora with Part-of-Speech Annotations for Three Regional Languages of France: Alsatian, Occitan and Picard (L18-1)

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Challenge: RESTAURE project aims to develop resources and tools for three regional languages of France: Alsatian, Occitan and Picard.
Approach: They describe the creation of corpora with part-of-speech annotations for Alsatian, Occitan and Picard.
Outcome: The authors describe the creation of annotated corpora for Alsatian, Occitan and Picard . the project is part of the RESTAURE project, which aims to develop resources and tools for these under-resourced French regional languages.
WaCadie: Towards an Acadian French Corpus (2024.lrec-main)

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Challenge: Existing corpora do not exist for many languages and language varieties, such as Acadian French.
Approach: They propose to build a corpus of Acadian French using web-as-corpus methodologies . they use domain crawling, social media scraping, and search engines to create corpus .
Outcome: The proposed corpus includes some traces of Acadian French, but it is not available for many languages and language varieties, such as Acadinian French.
ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference (2022.lrec-1)

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Challenge: Existing corpus ParCorFull contains parallel texts for English-German, French and Portuguese . translation of coreference across languages is challenging for MT and other NLP applications .
Approach: They describe a parallel corpus annotated with full coreference chains for multiple languages . they use the existing corpus ParCorFull to study translation of coreference across languages - a challenge for machine translation and NLP .
Outcome: The proposed corpus addresses translation of coreference across languages, a problem still challenging for machine translation and other multilingual natural language processing applications.
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
Outcome: The proposed corpus is searchable through a couple of well-established corpus infrastructures.
Building a Universal Dependencies Treebank for Occitan (2020.lrec-1)

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Challenge: Low-resourced regional, non-official or minority languages often face lack of institutional support . low-resource languages often find themselves in a similar situation .
Approach: They propose to create the first treebank for Occitan, a low-resourced regional language . they use an agile annotation approach and rely on pre-processing using existing tools .
Outcome: The proposed treebank is the first for the low-resourced regional language Occitan . the project uses an agile annotation approach and automated pre-annotation .
From FreEM to D’AlemBERT: a Large Corpus and a Language Model for Early Modern French (2022.lrec-1)

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Challenge: Anguage models for historical states of language are becoming more complex to process and more scarce in the corpora available.
Approach: They propose to use a contextualised language model to analyse historical states of language in French.
Outcome: The proposed model is based on a corpus of historical texts and is evaluated with an NLP task.
CBFC: a parallel L2 speech corpus for Korean and French learners (L18-1)

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Challenge: Using corpora for second language acquisition has become more and more common . corporata are used to study morpho-syntactic phenomena in English as a foreign language .
Approach: They propose to use a bilingual corpus of French learners of Korean and Korean learners of French to provide a translated and annotated corpus to the scientific community.
Outcome: The proposed corpus can be used for a wide array of purposes in the field of theoretical but also applied linguistics.
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German (2020.lrec-1)

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Challenge: Despite the small pool of speakers, there are still few natural language processing corpora, studies or tools for Swiss German.
Approach: They propose to use a web scraper to generate the largest Swiss German text corpus . they show that the tool can be applied to other low-resource languages as well .
Outcome: The proposed tool significantly improves language modeling in Swiss German, the authors show .
Visualizing the “Dictionary of Regionalisms of France” (DRF) (L18-1)

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Challenge: a corpus of regionalisms, parts of speech and recognition rates is published in the Dictionnaire des Régionalismes de France.
Approach: They propose to curate and analyze the corpus of regionalisms published in the Dictionnaire des Régionalismes de France.
Outcome: The corpus contains all entries in the DRF for which recognition rates were recorded . the analysis compares with previous work on regionalalisms and atlas .

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