Semantic Textual Similarity for MT evaluation

no code implementations • WS 2012 • Julio Castillo, Paula Estrella

Machine Translation Natural Language Inference +1

SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment

no code implementations • SEMEVAL 2012 • Julio Castillo, Paula Estrella

Machine Translation Natural Language Inference +2

On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data

no code implementations • WS 2016 • Pablo Duboue, Martin Ariel Dom{\'\i}nguez, Paula Estrella

Referring Expression Referring expression generation +1

Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach

no code implementations • WS 2019 • Jonathan Mutal, Pierrette Bouillon, Johanna Gerlach, Paula Estrella, Herv{\'e} Spechbach

NMT Translation

Differences between SMT and NMT Output - a Translators' Point of View

no code implementations • RANLP 2019 • Jonathan Mutal, Lise Volkart, Pierrette Bouillon, Sabrina Girletti, Paula Estrella

In this study, we compare the output quality of two MT systems, a statistical (SMT) and a neural (NMT) engine, customised for Swiss Post{'}s Language Service using the same training data.

NMT

Re-design of the Machine Translation Training Tool (MT3)

no code implementations • EAMT 2020 • Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, Pierrette Bouillon

We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life.

Machine Translation Translation