The Multilingual Corpus of World’s Constitutions (MCWC)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AR85WFSH5" target="_blank" >RIV/00216208:11320/25:R85WFSH5 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195418248&partnerID=40&md5=fb6b632bccb0b7afb928bc0abaf00146" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195418248&partnerID=40&md5=fb6b632bccb0b7afb928bc0abaf00146</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Multilingual Corpus of World’s Constitutions (MCWC)
Original language description
The “Multilingual Corpus of World’s Constitutions” (MCWC) is a rich resource available in English, Arabic, and Spanish, encompassing constitutions from various nations. This corpus serves as a vital asset for the NLP community, facilitating advanced research in constitutional analysis, machine translation, and cross-lingual legal studies. To ensure comprehensive coverage, for constitutions not originally available in Arabic and Spanish, we employed a fine-tuned state-of-the-art machine translation model. MCWC prepares its data to ensure high quality and minimal noise, while also providing valuable mappings of constitutions to their respective countries and continents, facilitating comparative analysis. Notably, the corpus offers pairwise sentence alignments across languages, supporting machine translation experiments. We utilise a leading Machine Translation model, fine-tuned on the MCWC to achieve accurate and context-aware translations. Additionally, we introduce an independent Machine Translation model as a comparative baseline. Fine-tuning the model on MCWC improves accuracy, highlighting the significance of such a legal corpus for NLP and Machine Translation. MCWC’s diverse multilingual content and commitment to data quality contribute to advancements in legal text analysis within the NLP community, facilitating exploration of constitutional texts and multilingual data analysis. © 2024 ELRA Language Resource Association.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Open-Source Arab. Corpora Process. Tools, OSACT Shar. Tasks Arab. LLMs Hallucination Dialect MSA Mach. Transl. LREC-COLING - Workshop Proc.
ISBN
978-249381436-4
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
57-66
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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