1 code implementation • 6 Oct 2022 • Stephanie Brandl, David Lassner, Anne Baillot, Shinichi Nakajima
Complementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, e. g., across time or domain.
no code implementations • 20 Mar 2020 • David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima
In addition to the findings based on the digital scholarly edition Berlin Intellectuals, we present a general framework for the analysis of text genesis that can be used in the context of other digital resources representing document variants.
no code implementations • WS 2019 • Fethi Bougares, Jane Wottawa, Anne Baillot, Lo{\"\i}c Barrault, Adrien Bardet
This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019).
no code implementations • 10 Mar 2016 • Laurent Romary, Mike Mertens, Anne Baillot
This paper provides both an update concerning the setting up of the European DARIAH infrastructure and a series of strong action lines related to the development of a data centred strategy for the humanities in the coming years.