Elamur Research⌕
☰
home / authors / Matthias Paulik

Matthias Paulik

Matthias Paulik has 2 papers in our library, in 2019–2020, most of them on Speech & spoken language; often with Sarthak Garg.

2 papers in our library · 2019–2020

OpenAlex · h-index 15 · 59 works · 724 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 154 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #3983

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

🎓Carnegie Mellon UniversityPittsburgh · United States2005–2010 · 11 papers🎓Karlsruhe Institute of TechnologyKarlsruhe · Germany2005–2010 · 9 papers🏢AppleCupertino · United States2018–2024 · 8 papers🏢AppleHerzliya · Israel2019–2020 · 4 papers🏢Cisco SystemsSan Jose · United States2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Signal Processing · 1 work

🧭 Topics 1 Speech & spoken language · 1 work

 Works by year

2020s

20201 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Jointly Learning to Align and Translate with Transformer Models (2019 · 199 citations)
    Neural models now lead machine translation, yet word alignment is still usually handled by statistical tools such as GIZA++.
  2. Speech Translation and the End-to-End Promise: Taking Stock of Where We Are (2020 · 150 citations)
    This ACL 2020 position paper by Sperber and Paulik asks why end-to-end speech translation (ST) models have had only mixed success against traditional cascades of ASR and MT. It contains no new experiments, dataset or model. Instead, the authors trace about thirty years of ST research:

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Jointly Learning to Align and Translate with Transformer ModelsSarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.Conference on Empirical Methods in Natural… · 199 citations
  2. Speech Translation and the End-to-End Promise: Taking Stock of Where We AreMatthias Sperber, Matthias PaulikAnnual Meeting of the Association for… · 150 citations
  3. Empirical Evaluation of Active Learning Techniques for Neural MT (original ↗)Xiangkai Zeng et al.2019 · Proceedings of the 2nd Workshop on Deep… · 29 citations · no summary yet

 Co-authors here

1 co-author 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 154 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/matthias-paulik/