Search Results for author: Sebastian St{\"u}ker

Found 15 papers, 0 papers with code


no code implementations WS 2020 Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ond{\v{r}}ej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Pino, Elizabeth Salesky, Xing Shi, Sebastian St{\"u}ker, Marco Turchi, Alex Waibel, er, Changhan Wang

The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2020) featured this year six challenge tracks: (i) Simultaneous speech translation, (ii) Video speech translation, (iii) Offline speech translation, (iv) Conversational speech translation, (v) Open domain translation, and (vi) Non-native speech translation.


DaCToR: A Data Collection Tool for the RELATER Project

no code implementations LREC 2020 Juan Hussain, Oussama Zenkri, Sebastian St{\"u}ker, Alex Waibel

Collecting domain-specific data for under-resourced languages, e. g., dialects of languages, can be very expensive, potentially financially prohibitive and taking long time.

Lightly Supervised Quality Estimation

no code implementations COLING 2016 Matthias Sperber, Graham Neubig, Jan Niehues, Sebastian St{\"u}ker, Alex Waibel

Evaluating the quality of output from language processing systems such as machine translation or speech recognition is an essential step in ensuring that they are sufficient for practical use.

Automatic Speech Recognition (ASR) Machine Translation +2

Evaluation of the KIT Lecture Translation System

no code implementations LREC 2016 Markus M{\"u}ller, Sarah F{\"u}nfer, Sebastian St{\"u}ker, Alex Waibel

One obstacle to achieving this goal is that lectures at KIT are usually held in German which many foreign students are not sufficiently proficient in, as, e. g., opposed to English.


The KIT Lecture Corpus for Speech Translation

no code implementations LREC 2012 Sebastian St{\"u}ker, Florian Kraft, Christian Mohr, Teresa Herrmann, Eunah Cho, Alex Waibel

Academic lectures offer valuable content, but often do not reach their full potential audience due to the language barrier.

Speech Recognition Translation

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