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14th IWSLT 2017: Tokyo, Japan
- Sakriani Sakti, Masao Utiyama:
Proceedings of the 14th International Conference on Spoken Language Translation, IWSLT 2017, Tokyo, Japan, December 14-15, 2017. International Workshop on Spoken Language Translation 2017 - Frontmatter.
- Mauro Cettolo, Marcello Federico, Luisa Bentivogli, Jan Niehues, Sebastian Stüker, Katsuhito Sudoh, Koichiro Yoshino, Christian Federmann:
Overview of the IWSLT 2017 Evaluation Campaign. 2-14 - Cristina España-Bonet, Josef van Genabith:
Going beyond zero-shot MT: combining phonological, morphological and semantic factors. The UdS-DFKI System at IWSLT 2017. 15-22 - Pawel Przybysz, Marcin Chochowski, Rico Sennrich, Barry Haddow, Alexandra Birch:
The Samsung and University of Edinburgh's submission to IWSLT17. 23-28 - Parnia Bahar, Jan Rosendahl, Nick Rossenbach, Hermann Ney:
The RWTH Aachen Machine Translation Systems for IWSLT 2017. 29-34 - Surafel Melaku Lakew, Quintino F. Lotito, Marco Turchi, Matteo Negri, Marcello Federico:
FBK's Multilingual Neural Machine Translation System for IWSLT 2017. 35-41 - Ngoc-Quan Pham, Matthias Sperber, Elizabeth Salesky, Thanh-Le Ha, Jan Niehues, Alexander Waibel:
KIT's Multilingual Neural Machine Translation systems for IWSLT 2017. 42-47 - Chao Bei, Hao Zong:
Towards better translation performance on spoken language. 48-54 - Raj Dabre, Fabien Cromierès, Sadao Kurohashi:
Kyoto University MT System Description for IWSLT 2017. 55-59 - Thai-Son Nguyen, Markus Müller, Matthias Sperber, Thomas Zenkel, Sebastian Stüker, Alex Waibel:
The 2017 KIT IWSLT Speech-to-Text Systems for English and German. 60-64 - Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel:
Neural Machine Translation Training in a Multi-Domain Scenario. 66-73 - Eunah Cho, Jan Niehues, Alex Waibel:
Domain-independent Punctuation and Segmentation Insertion. 74-81 - Hany Hassan, Mostafa Elaraby, Ahmed Y. Tawfik:
Synthetic Data for Neural Machine Translation of Spoken-Dialects. 82-89 - Matthias Sperber, Jan Niehues, Alex Waibel:
Toward Robust Neural Machine Translation for Noisy Input Sequences. 90-96 - Mattia Antonino Di Gangi, Marcello Federico:
Monolingual Embeddings for Low Resourced Neural Machine Translation. 97-104 - Thanh-Le Ha, Jan Niehues, Alexander Waibel:
Effective Strategies in Zero-Shot Neural Machine Translation. 105-112 - Surafel Melaku Lakew, Quintino F. Lotito, Matteo Negri, Marco Turchi, Marcello Federico:
Improving Zero-Shot Translation of Low-Resource Languages. 113-119 - Hao Qin, Takahiro Shinozaki, Kevin Duh:
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems. 120-128 - Nadir Durrani, Fahim Dalvi:
Continuous Space Reordering Models for Phrase-based MT. 129-136 - Lucía Santamaría, Amittai Axelrod:
Data Selection with Cluster-Based Language Difference Models and Cynical Selection. 137-145 - Adrien Lardilleux, Yves Lepage:
CHARCUT: Human-Targeted Character-Based MT Evaluation with Loose Differences. 146-153
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