9 citations · 16 across the 5 of their papers we have counts for
6 papers · 1 filter
Findings of the IWSLT 2024 Evaluation Campaign
Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar +42
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and off…
AppTek's Submission to the IWSLT 2022 Isometric Spoken Language Translation Task
Patrick Wilken, Evgeny Matusov
To participate in the Isometric Spoken Language Translation Task of the IWSLT 2022 evaluation, constrained condition, AppTek developed neural Transformer-based systems for English-…
SubER: A Metric for Automatic Evaluation of Subtitle Quality
Patrick Wilken, Panayota Georgakopoulou, Evgeny Matusov
This paper addresses the problem of evaluating the quality of automatically generated subtitles, which includes not only the quality of the machine-transcribed or translated speech…
Neural Simultaneous Speech Translation Using Alignment-Based Chunking
Patrick Wilken, Tamer Alkhouli, Evgeny Matusov +1
In simultaneous machine translation, the objective is to determine when to produce a partial translation given a continuous stream of source words, with a trade-off between latency…
Novel Applications of Factored Neural Machine Translation
Patrick Wilken, Evgeny Matusov
In this work, we explore the usefulness of target factors in neural machine translation (NMT) beyond their original purpose of predicting word lemmas and their inflections, as prop…
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation
Shahram Khadivi, Patrick Wilken, Leonard Dahlmann +1
In this paper, we discuss different methods which use meta information and richer context that may accompany source language input to improve machine translation quality. We focus…