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TL;DR: The European Language Grid (ELG) project addresses this fragmentation by establishing the ELG as the primary platform for LT in Europe and will boost the Multilingual Digital Single Market towards a thriving European LT community, creating new jobs and opportunities.

TL;DR: This work forms this both as a classification and a ranking problem and employs the perceptron, the margin infused relaxed algorithm (MIRA), and the support vector machine (SVM) to decrease training complexity.

TL;DR: The objective of this study is to automatically extract annotated sign data from the broadcast news recordings for the hearing impaired, and aim to use it as a sign dictionary where the users enter a word as text and retrieve sign videos of the related sign.

TL;DR: It is found that morph-based confusion models with a sample selection strategy aiming to match the error distribution of the baseline ASR system gives the best performance.

TL;DR: The European Language Grid (ELG) project as discussed by the authors is a scalable cloud platform, providing, in an easy-to-integrate way, access to hundreds of commercial and non-commercial LTs for all European languages, including running tools and services as well as data sets and resources.