Christoph Teichmann
Christoph Teichmann wrote 2 of the papers Mova reads, in 2017–2021, most of them on Machine translation; often with Alexander Koller, Antoine Venant, Johannes Gontrum.
Topics: Machine translation 1
Papers
- Generic Oracles for Structured Prediction (2021)
Local models for structured prediction are trained on gold action sequences only, so they suffer exposure bias and never learn to recover from their own mistakes. - Alto: Rapid Prototyping for Parsing and Translation (2017)
Alto is an open-source toolkit for grammar formalisms. It is built on Interpreted Regular Tree Grammars (IRTGs). A regular tree grammar produces derivation trees, and each interpretation maps a derivation tree through a homomorphism into a term over an algebra, such as strings or graphs. The same derivation can…
Co-authors (4)
- Alexander Koller
- Antoine Venant
- Johannes Gontrum
- Jonas Groschwitz
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