Search Results for author:
Found 16 papers, 2 papers with code
Operating a Complex SLT System with Speakers and Human Interpreters
We describe our experience with providing automatic simultaneous spoken language translation for an event with human interpreters.
KIT’s IWSLT 2021 Offline Speech Translation System
We describe a system in both cascaded condition and end-to-end condition.
The IWSLT 2019 KIT Speech Translation System
This paper describes KIT’s submission to the IWSLT 2019 Speech Translation task on two sub-tasks corresponding to two different datasets.
ELITR: European Live Translator
ELITR (European Live Translator) project aims to create a speech translation system for simultaneous subtitling of conferences and online meetings targetting up to 43 languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features
In contrast, we propose an approach targeting the more general and challenging case A B B’ A’, where the words A, A’ and B, B’ constituting the chiasmus do not need to be identical but just related in meaning.
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German
We train this method in a zero-shot pseudo-supervised manner by generating artificial metaphor examples and show that our approach can be used to generate a metaphor dataset with low annotation cost.
KIT’s Submission to the IWSLT 2019 Shared Task on Text Translation
In this paper, we describe KIT’s submission for the IWSLT 2019 shared task on text translation.
Machine Translation from Standard German to Alemannic Dialects
There, improvements range from 7. 5 to 10. 6 BLEU points over the baseline depending on the dialect.
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions
By combining the sparsity-inducing learning procedure with the sequential experimental design, we effectively reduce the number of model evaluations in the MAP estimation problem.
Sparse Bayesian Learning for Complex-Valued Rational Approximations
For models that require a high polynomial degree or are high-dimensional in terms of their input parameters, this number often exceeds the affordable computational cost.
Contrastive Learning Through Time
We propose a family of CLTT algorithms based on state-of-the-art contrastive learning methods and test them on three data sets.
ELITR Multilingual Live Subtitling: Demo and Strategy
This paper presents an automatic speech translation system aimed at live subtitling of conference presentations.
KIT's IWSLT 2020 SLT Translation System
This paper describes KIT{'}s submissions to the IWSLT2020 Speech Translation evaluation campaign.
Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation
Simultaneous machine translation systems rely on a policy to schedule read and write operations in order to begin translating a source sentence before it is complete.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
ELITR Non-Native Speech Translation at IWSLT 2020
This paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020.
Removing European Language Barriers with Innovative Machine Translation Technology
This paper presents our progress towards deploying a versatile communication platform in the task of highly multilingual live speech translation for conferences and remote meetings live subtitling.
