arXiv:2603.09785v3 Announce Type: replace Abstract: This paper introduces an updated and combined version of the bidirectional English-German EPIC-UdS (spoken) and EuroParl-UdS (written) corpora containing original European Parliament speeches as well as their translations and interpretations. The new version corrects metadata and text errors identified through previous use, refines the content, updates linguistic annotations, and adds new layers, including word alignment and word-level surprisal indices. The combined resource is designed to support research using information-theoretic approac
The continuous refinement and release of high-quality multilingual datasets are crucial for the rapid advancement of AI models, particularly in natural language processing and translation, aligning with current research trends.
This updated corpus provides a richer, more accurate resource for training and evaluating AI models in translation and interpreting, which is vital for improving cross-lingual communication and AI capabilities.
The availability of a refined, bidirectional English-German corpus with word alignment and surprisal indices enables more sophisticated information-theoretic research into translation, leading to more robust and nuanced AI language models.
- · AI researchers
- · NLP developers
- · Machine translation services
- · European Parliament
- · Monolingual datasets
- · Less accurate language models
Improved performance of English-German machine translation and interpreting systems.
Accelerated development of AI models capable of understanding and generating human-like multilingual communication, reducing language barriers.
Enhanced global information exchange and collaboration due to more reliable and accessible automated translation tools, potentially influencing diplomatic and economic interactions.
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