This book documents the evolution and results of the EU project European Language Grid (2019-2022) and describes the architecture and implementation of the ELG Language Technology and NLP cloud platform. Readers are introduced to the ELG community consisting of hundreds of industrial and academic stakeholders all over Europe.
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The ability to accurately and consistently check the readability level of texts is crucial to authors and teachers. It will allow them to create and discover content that meets the needs of students with different backgrounds and skill levels.
Our project aims to develop a set of data collection and annotation tools to facilitate the creation of data sets (corpora), which can be used to develop classification. These can automatically assess a text's reading difficulty against the Common European Framework of Reference (CEFR).
Our most recent success has been working with the EU Horizon 2020 iRead project, which is due for completion in December 2020. The iRead project involves 14 companies across 8 European countries and develops personalized technologies to help primary school children to advance their reading skills. The goal of the project is to fast-track innovation processes related to the development of literacy-based technology while targeting a key skill for primary aged children which can have long term effects on later learning.
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BureauTaal, a Dutch language and training agency, and EDIA, an Amsterdam technology company applying Artificial Intelligence to create smart content for educational use, have joined forces to better serve BureauTaal’s customers by delivering EDIA technology in Texamen, a CEFR readability tool for text writers. Texamen helps authors to check the level of readability of their texts to ensure their audience understand them.
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EDIA and Adaptemy join forces to automate curriculum creation and content management.
EDIA, an Amsterdam AI EdTech company specialising in the automation of content creation, management, and distribution processes for educational companies, and Adaptemy, a leading provider of classroom-focused adaptive learning technology today announced a strategic partnership. The two companies will work together to help educational publishers accelerate production and delivery of adaptive content suitable for personalised learning.
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PublishOne is an advanced and user-friendly publishing solution for authors, researchers and editors that work with digital and print content. EDIA, on the other hand, is an education technology company that supports educational organisations with automated metadata tagging and adoption of smart content. EDIA uses modern techniques of machine learning and artificial intelligence that are offered in the form of an API directly to publishers or via various content management systems(CMS), of which PublishOne is one. This powerful combination of the CMS and automated meta-tagging will deliver huge benefits to consumers and businesses of both parties.
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Converting content into smart content is crucial for publishers to survive in the digital and artificial intelligence age. Educational publishers have a plethora of content which needs to be accurately stored and labeled to the right language or reading level. Hence, following the CEFR* scale is key for publishers to match content to the right readability level. In this blog post, we'll examine what kind of solutions exist in the market that offer CEFR classification.
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At EDIA, we’ve conducted an administered survey and distributed it to our network of education professionals ranging from education publishers, universities, e-learning, and LMS providers. What we’ve discovered is that many of the publishers share the same problems.
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