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This paper presents a historical parallel corpus of languages spoken in mainland France. It consists of a collection of versions of the Parable of the Prodigal Son, collected during the 19th century. The paper aims to present the interest of such a corpus, its constitution-through XML/TEI encoding, semi-automatic alignment and projection on linguistic maps-and its potential uses for the study of these low-resource languages.
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Aligned corpus of Standard Breton and Standard French, coming from the mailing list of an associative structure, Kontañ-kaoz in Plogonnec in Finistère. Yann-Bêr Rivalin is the creator of the original bilingual material. Mélanie Jouitteau aligned both texts and very lightly edited inconsistencies and typos. The corpus is not anonymized, but the content is that of public announcements.
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ARBRES is an ongoing project of open science implemented as a platform (“wikigrammar”) documenting both the Breton language itself and the state of research and engineering work in linguistics and NLP. Along its nearly 15 years of operation, it has aggregated a wealth of linguistic data in the form of interlinear glosses with translations illustrating lexical items, grammatical features, dialectal variations… While these glosses were primarily meant for human consumption, their volume and the regular format imposed by the wiki engine used for the website also make them suitable for machine processing. ARBRES Kenstur is a new parallel corpus derived from the glosses in ARBRES, including about 5k phrases and sentences in Breton along with translations in standard French. The nature of the original data — sourced from field linguistic inquiries meant to document the structure of Breton — leads to a resource that is mechanically more concerned with the internal variations of the language and rare phenomena than typical parallel corpora. Preliminaries experiments in using this corpus show that it can help improve machine translation for Breton, demonstrating that sourcing data from field linguistic documentation can be a way to help provide NLP tools for minority and low-resource languages.
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Parallel corpora are still scarce for most of the world's language pairs. The situation is by no means different for regional languages of France. In addition, adequate web interfaces facilitate and encourage the use of parallel corpora by target users, such as language learners and teachers, as well as linguists. In this paper, we describe ParCoLab, a parallel corpus and a web platform for querying the corpus. From its onset, ParCoLab has been geared towards lower-resource languages, with an initial corpus in Serbian, along with French and English (later Spanish). We focus here on the extension of ParCoLab with a parallel corpus for four regional languages of France: Alsatian, Corsican, Occitan and Poitevin-Saintongeais. In particular, we detail criteria for choosing texts and issues related to their collection. The new parallel corpus contains more than 20k tokens per regional language.
Explorer
Langue
- Alsacien (1)
- Breton (2)
- Corse (1)
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Multilingue
(2)
- Langues COLaF (1)
- Occitan (1)
- Poitevin-Saintongeais (1)
Tâche
Type de papier
- Papiers COLaF (1)