📰 IWSLT 2016: all accepted papers

26 papers · the most cited first · ← IWSLT 2016

1. A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation ↗Maria Nădejde, Alexandra Birch, Philipp Koehn
2. Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016 ↗Eunah Cho, Jan Niehues, Thanh-Le Ha et al.
3. Audio Segmentation for Robust Real-Time Speech Recognition Based on Neural Networks ↗Micha Wetzel, Matthias Sperber, Alexander Waibel
4. FBK's Neural Machine Translation Systems for IWSLT 2016 ↗M. Amin Farajian, Rajen Chatterjee, Costanza Conforti et al.
5. Factored Neural Machine Translation Architectures ↗Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
6. Integrating Encyclopedic Knowledge into Neural Language Models ↗Yang Zhang, Jan Niehues, Alexander Waibel
7. Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages ↗Alexandros Lazaridis, Ivan Himawan, Petr Motlicek et al.
8. Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation DirectionsMarcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoangour summary
9. Joint ASR and MT Features for Quality Estimation in Spoken Language Translation ↗Ngoc-Tien Le, Benjamin Lecouteux, Laurent Besacier
10. LIMSI@IWSLT'16: MT Track ↗Franck Burlot, Matthieu Labeau, Elena Knyazeva et al.
11. Microsoft Speech Language Translation (MSLT) Corpus: The IWSLT 2016 release for English, French and German ↗Christian Federmann, William D. Lewis
12. Multilingual Disfluency Removal using NMT ↗Eunah Cho, Jan Niehues, Thanh-Le Ha et al.
13. QCRI's Machine Translation Systems for IWSLT'16 ↗Nadir Durrani, Fahim Dalvi, Hassan Sajjad et al.
14. RACAI Entry for the IWSLT 2016 Shared Task ↗Sonia Pipa, Alin Florentin Vasile, Ioana Ionașcu et al.
15. The 2016 KIT IWSLT Speech-to-Text Systems for English and German ↗Thai-Son Nguyen, Markus Müller, Matthias Sperber et al.
16. The IOIT English ASR system for IWSLT 2016 ↗Van Huy Nguyen, Trung-Nghia Phung, Tat Thang Vu et al.
17. The IWSLT 2016 Evaluation Campaign ↗Mauro Cettolo, Jan Niehues, Sebastian Stüker et al.
18. The MITLL-AFRL IWSLT 2016 Systems ↗Michaeel Kazi, Elizabeth Salesky, Brian Thompson et al.
19. The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task ↗Wilfried Michel, Zoltán Tüske, M. Ali Basha Shaik et al.
20. The RWTH Aachen Machine Translation System for IWSLT 2016 ↗Jan-Thorsten Peter, Andreas Guta, Nick Rossenbach et al.
21. The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts ↗Xing Niu, Marine Carpuat
22. The University of Edinburgh's systems submission to the MT task at IWSLT ↗Marcin Junczys-Dowmunt, Alexandra Birch
23. Toward Multilingual Neural Machine Translation with Universal Encoder and DecoderThanh-Le Ha, Jan Niehues, Alex Waibelour summary
24. Towards Improving Low-Resource Speech Recognition Using Articulatory and Language Features ↗Markus Müller, Sebastian Stüker, Alex Waibel
25. Two-Step MT: Predicting Target Morphology ↗Franck Burlot, Elena Knyazeva, Thomas Lavergne et al.
26. UFAL Submissions to the IWSLT 2016 MT Track ↗Ondřej Bojar, Ondřej Cífka, Jindřich Helcl et al.

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