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README.md

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-    The <strong><a href="https://www.bsc.es/discover-bsc/organisation/research-departments/language-technologies-unit">Language Technologies Unit</a></strong> at BSC aims to advance the field of natural language processing through cutting-edge research and development and use of HPC. The Unit has extensive experience in several NLP areas, such as massive language model building, machine translation, speech technologies, HPC computing and unsupervised learning for under-resourced languages and domains. High-throughput language processing and massive language data annotation are part of the unique expertise of a team comprising computational linguists, data scientists, software engineers and researchers coming together from various backgrounds and domains.
+    The <strong><a href="https://www.bsc.es/discover-bsc/organisation/research-departments/language-technologies-unit">Language Technologies Unit</a></strong> at BSC focuses on advancing NLP through cutting-edge research, HPC, and expertise in areas like massive language models, machine translation, speech technologies, and unsupervised learning for under-resourced languages. The team comprising computational linguists, data scientists, software engineers, and researchers from diverse backgrounds.
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+    This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project <strong>Desarrollo de Modelos ALIA</strong>, the Government of Catalonia through the <strong>Aina</strong> project, and the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project <strong>ILENIA</strong> with reference 2022/TL22/00215337.
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