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Matthias Sperber

20 papers hereh-index 201.6k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author13

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • eess.AS1
same name
  • Matthias Sperber — 3 papers, h 3
  • Matthias Sperber — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedXNMT: The eXtensible Neural Machine Translation Toolkit

55 citations · 99 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Consistent Transcription and Translation of Speech

Matthias Sperber, Hendra Setiawan, Christian Gollan +2

The conventional paradigm in speech translation starts with a speech recognition step to generate transcripts, followed by a translation step with the automatic transcripts as inpu…

cs.CL2020

Variational Neural Machine Translation with Normalizing Flows

Hendra Setiawan, Matthias Sperber, Udhay Nallasamy +1

Variational Neural Machine Translation (VNMT) is an attractive framework for modeling the generation of target translations, conditioned not only on the source sentence but also on…

cs.CL2020

Speech Translation and the End-to-End Promise: Taking Stock of Where We Are

Matthias Sperber, Matthias Paulik

Over its three decade history, speech translation has experienced several shifts in its primary research themes; moving from loosely coupled cascades of speech recognition and mach…

eess.AS2020★ 10 cited

Low Latency ASR for Simultaneous Speech Translation

Thai Son Nguyen, Jan Niehues, Eunah Cho +6

User studies have shown that reducing the latency of our simultaneous lecture translation system should be the most important goal. We therefore have worked on several techniques f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.