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Felix Stahlberg

Felix Stahlberg has 3 papers in our library, in 2019–2020, most of them on Machine translation; often with Bill Byrne, Brian Roark, Hao Zhang.

3 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 17 · 71 works · 1,301 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 315 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #4518

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 1 work

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. On NMT Search Errors and Model Errors: Cat Got Your Tongue? (2019 · 201 citations)
    Neural machine translation is almost always decoded with beam search. Until this paper, no one had measured how often beam search misses the output the model actually scores highest, because the search space is far too large to enumerate. Stahlberg and Byrne build an exact decoder that combines beam search with…
  2. Seq2Edits: Sequence Transduction Using Span-level Edit Operations (2020 · 133 citations)
    Many NLP tasks, such as grammatical error correction, produce outputs that are almost identical to their inputs.
  3. Neural Models of Text Normalization for Speech Applications (2019 · 115 citations)
    Text normalization for speech converts written forms such as digits, dates, times and measure expressions into the words a text-to-speech (TTS) engine should say.

All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Neural Models of Text Normalization for Speech ApplicationsComputational LinguisticsHao Zhang, Richard Sproat, Axel H. Ng, et al.2019 · 115 citations
  2. Syntactically Guided Neural Machine Translation ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetFelix Stahlberg et al.2016 · 97 citations
  3. Simple Fusion: Return of the Language Model ↗Proceedings of the Third Conference on Machine Translation: Research Papers · no summary yetFelix Stahlberg, James Cross, Veselin Stoyanov2018 · 92 citations
  4. Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices ↗Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers · no summary yetFelix Stahlberg et al.2017 · 69 citations
  5. Multi-representation ensembles and delayed SGD updates improve syntax-based NMT ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetDanielle Saunders et al.2018 · 36 citations
  6. Towards an On-device Agent for Text Rewriting ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetYun Zhu et al.2024 · 8 citations

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 315 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

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