LMU Munich's Neural Machine Translation Systems at WMT 2018
We present the LMU Munich machine translation systems for the English{--}German language pair. We have built neural machine translation systems for both translation directions (English→German and German→English) and for two different domains (the biomedical domain and the news domain). The systems were used for our participation in the WMT18 biomedical translation task and in the shared task on machine translation of news. The main focus of our recent system development efforts has been on achieving improvements in the biomedical domain over last year{'}s strong biomedical translation engine for English→German (Huck et al., 2017a). Considerable progress has been made in the latter task, which we report on in this paper.
Code (0)
등록된 구현이 없습니다.
Tasks
Domain AdaptationMachine TranslationTranslationUnsupervised Machine TranslationSimilar Papers 제목 키워드 기반
The LMU Munich Unsupervised Machine Translation Systems
We describe LMU Munich{'}s unsupervised machine translation systems for English↔German translation. These systems were used to participate in the WMT18 news translation shared task and more specifically, for the unsupe…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+3LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts
The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task
This paper describes the submission of LMU Munich to the WMT 2021 multilingual machine translation task for small track #1, which studies translation between 6 languages (Croatian, Hungarian, Estonian, Serbian, Macedonia…
Data AugmentationKnowledge DistillationMachine TranslationTranslationThe LMU Munich Unsupervised Machine Translation System for WMT19
We describe LMU Munich{'}s machine translation system for German→Czech translation which was used to participate in the WMT19 shared task on unsupervised news translation. We train our model using monolingual data only…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+3The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
This paper describes the submission of LMU Munich to the WMT 2020 unsupervised shared task, in two language directions, German<->Upper Sorbian. Our core unsupervised neural machine translation (UNMT) system follows the s…
Machine TranslationText GenerationTranslationUnsupervised Machine Translation