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ORCID16th IWSLT 2019: Hong Kong
- Jan Niehues, Roldano Cattoni, Sebastian Stüker, Matteo Negri, Marco Turchi, Thanh-Le Ha, Elizabeth Salesky, Ramon Sanabria, Loïc Barrault, Lucia Specia, Marcello Federico:
Proceedings of the 16th International Conference on Spoken Language Translation, IWSLT 2019, Hong Kong, November 2-3, 2019. Association for Computational Linguistics 2019 - Jan Niehues, Roldano Cattoni, Sebastian Stüker, Matteo Negri, Marco Turchi, Thanh-Le Ha, Elizabeth Salesky, Ramon Sanabria, Loïc Barrault, Lucia Specia, Marcello Federico:
The IWSLT 2019 Evaluation Campaign. - Xiaopu Li, Zhengshan Xue, Jie Hao:
OPPO NMT System for IWSLT 2019. - Ngoc-Quan Pham, Thai-Son Nguyen, Thanh-Le Ha, Juan Hussain, Felix Schneider, Jan Niehues, Sebastian Stüker, Alexander Waibel:
The IWSLT 2019 KIT Speech Translation System. - Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe:
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. - Ha Nguyen:
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task. - Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia:
Transformer-based Cascaded Multimodal Speech Translation. - Mei Tu, Wei Liu, Lijie Wang, Xiao Chen, Xue Wen:
End-to-end Speech Translation System Description of LIT for IWSLT 2019. - Martin Popel, Christian Federmann:
Domain Adaptation of Document-Level NMT in IWSLT19. - Joanna Wetesko, Marcin Chochowski, Pawel Przybysz, Philip Williams, Roman Grundkiewicz, Rico Sennrich, Barry Haddow, Antonio Valerio Miceli Barone, Alexandra Birch:
Samsung and University of Edinburgh's System for the IWSLT 2019. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
CMU's Machine Translation System for IWSLT 2019. - Loïc Vial, Benjamin Lecouteux, Didier Schwab, Hang Le, Laurent Besacier:
The LIG system for the English-Czech Text Translation Task of IWSLT 2019. - Tomasz Potapczyk, Pawel Przybysz, Marcin Chochowski, Artur Szumaczuk:
Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task. - Felix Schneider, Alex Waibel:
KIT's Submission to the IWSLT 2019 Shared Task on Text Translation. - Mattia Antonino Di Gangi, Matteo Negri, Viet-Nhat Nguyen, Amirhossein Tebbifakhr, Marco Turchi:
Data Augmentation for End-to-End Speech Translation: FBK@IWSLT '19. - Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen:
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems. - Surafel Melaku Lakew, Alina Karakanta
, Marcello Federico, Matteo Negri, Marco Turchi:
Adapting Multilingual Neural Machine Translation to Unseen Languages. - Toan Q. Nguyen, Julian Salazar:
Transformers without Tears: Improving the Normalization of Self-Attention. - Juan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath:
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade. - Anh Khoa Ngo Ho, François Yvon:
Neural Baselines for Word Alignment. - Jan Rosendahl, Viet Anh Khoa Tran, Weiyue Wang, Hermann Ney:
Analysis of Positional Encodings for Neural Machine Translation. - Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. - Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. - Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia:
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality. - Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney:
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Multitask Learning For Different Subword Segmentations In Neural Machine Translation. - Minh Quang Pham, Josep Maria Crego, François Yvon, Jean Senellart:
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation. - Jitao Xu, Josep Maria Crego, Jean Senellart:
Lexical Micro-adaptation for Neural Machine Translation. - Yuchen Yan, Dekai Wu, Serkan Kumyol:
Efficient Bilingual Generalization from Neural Transduction Grammar Induction. - Qiao Cheng, Meiyuan Fang, Yaqian Han, Jin Huang, Yitao Duan:
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training. - Pierre Godard, Laurent Besacier, François Yvon:
Controlling Utterance Length in NMT-based Word Segmentation with Attention. - Surafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico:
Controlling the Output Length of Neural Machine Translation. - Mattia Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico:
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts. - Philipp Wiesenbach, Stefan Riezler:
Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs.
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