Search Results for author: Mārcis Pinnis

Found 8 papers, 2 papers with code

Neural Translation for the European Union (NTEU) Project

no code implementations EAMT 2020 Laurent Bié, Aleix Cerdà-i-Cucó, Hans Degroote, Amando Estela, Mercedes García-Martínez, Manuel Herranz, Alejandro Kohan, Maite Melero, Tony O’Dowd, Sinéad O’Gorman, Mārcis Pinnis, Roberts Rozis, Riccardo Superbo, Artūrs Vasiļevskis

The Neural Translation for the European Union (NTEU) project aims to build a neural engine farm with all European official language combinations for eTranslation, without the necessity to use a high-resourced language as a pivot.


Dynamic Terminology Integration for COVID-19 and other Emerging Domains

no code implementations WMT (EMNLP) 2021 Toms Bergmanis, Mārcis Pinnis

The majority of language domains require prudent use of terminology to ensure clarity and adequacy of information conveyed.

Machine Translation Translation

Facilitating Terminology Translation with Target Lemma Annotations

1 code implementation EACL 2021 Toms Bergmanis, Mārcis Pinnis

Most of the recent work on terminology integration in machine translation has assumed that terminology translations are given already inflected in forms that are suitable for the target language sentence.

Data Augmentation Machine Translation +1

Tilde at WMT 2020: News Task Systems

no code implementations WMT (EMNLP) 2020 Rihards Krišlauks, Mārcis Pinnis

This paper describes Tilde's submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the unconstrained tracks.

Machine Translation Re-Ranking +1

Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation

no code implementations11 Sep 2020 Toms Bergmanis, Artūrs Stafanovičs, Mārcis Pinnis

Neural machine translation systems typically are trained on curated corpora and break when faced with non-standard orthography or punctuation.

Machine Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.