Marlies van der Wees
Marlies van der Wees has 2 papers in our library, in 2016–2017, most of them on Machine translation, Semitic languages; often with Arianna Bisazza, Christof Monz.
OpenAlex · ORCID · Wikidata · h-index 9 · 14 works · 140 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 98 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6636
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Machine translation · 2 worksSemitic languages · 1 work
Works by year
2010s
Papers
- Dynamic Data Selection for Neural Machine Translation (2017 · 96 citations)
This paper asks whether the domain-oriented data selection that works well for phrase-based MT (PBMT) also helps neural MT (NMT). - A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation (2016 · 18 citations)
Arabic user-generated content is often typed in Arabizi, an informal romanization that mixes Latin letters and digits.
All works
- Dynamic Data Selection for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Marlies van der Wees, Arianna Bisazza, Christof Monz2017 · 96 citations
- Evaluation of Machine Translation Performance Across Multiple Genres and Languages ↗Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yetMarlies van der Wees, Arianna Bisazza, Christof Monz2018 · 21 citations
- Measuring the Effect of Conversational Aspects on Machine Translation Quality ↗Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · no summary yetMarlies van der Wees, Arianna Bisazza, Christof Monz2016 · 19 citations
- A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine TranslationWorkshop on Noisy User-generated TextMarlies van der Wees, Arianna Bisazza, Christof Monz2016 · 18 citations
- Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text ↗Proceedings of the Workshop on Noisy User-generated Text · no summary yetMarlies van der Wees, Arianna Bisazza, Christof Monz2015 · 17 citations
Co-authors here
Venues
- Workshop on Noisy User-generated Text ×2: Workshop on Noisy User-generated Text 2016
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2017
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Cited by
Updated
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