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Found 12 papers, 2 papers with code
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation
Neural machine translation systems typically are trained on curated corpora and break when faced with non-standard orthography or punctuation.
Mitigating Gender Bias in Machine Translation with Target Gender Annotations
to a language with grammatical gender, it might be necessary to determine the gender of the subject "secretary".
Tilde at WMT 2020: News Task Systems
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.
Facilitating Terminology Translation with Target Lemma Annotations
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.
Dynamic Terminology Integration for COVID-19 and other Emerging Domains
The majority of language domains require prudent use of terminology to ensure clarity and adequacy of information conveyed.
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs
However, such labels are not guaranteed to match across languages from an information consistency standpoint, greatly compromising their usefulness for fields such as machine translation.
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases
Consolidated access to current and reliable terms from different subject fields and languages is necessary for content creators and translators.
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees
In this paper, we examine the development and usage of six low-resource machine translation systems translating between the Ukrainian language and each of the official languages of the Baltic states.
Neural Translation for the European Union (NTEU) Project
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.
Unsupervised Machine Translation in Real-World Scenarios
In this work, we present the work that has been carried on in the MT4All CEF project and the resources that it has generated by leveraging recent research carried out in the field of unsupervised learning.
