Papers by Ulrich Germann

4 papers
European Language Grid: An Overview (2020.lrec-1)

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Challenge: European LT business is dominated by hundreds of SMEs and a few large players, with technologies that outperform the global players.
Approach: European Language Grid (ELG) project addresses this by establishing the ELG as the primary platform for LT in Europe.
Outcome: European Language Grid (ELG) will be primary platform for LT in Europe . it will provide 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.
Marian: Fast Neural Machine Translation in C++ (P18-4)

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Challenge: In this paper, we present Marian, an efficient and self-contained Neural Machine Translation framework . Marian is written in pure C++ with minimal dependencies .
Approach: They present Marian, an efficient and self-contained Neural Machine Translation framework written in pure C++ with minimal dependencies.
Outcome: The proposed framework achieves high training and translation speed with minimal dependencies . it is currently being deployed in multiple European projects .
The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring (P18-4)

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Challenge: The SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes.
Approach: The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel . it offers a fully automated media ingestion pipeline capable of recording live broadcasts, detection and transcription of spoken content, translation of all text (original or transcribed) into English, recognition and linking of Named Entities, topic detection, clustering and cross-lingual multi-document summarization of related media items and extraction and storage of factual claims in these news items.
Outcome: The SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes.

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