Table of Contents

• CMU's Machine Translation System for IWSLT 2019Tejas Srinivasan, Ramon Sanabria, Florian Metze. [doi]
• Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the TradeJuan Pino, Liezl Puzon, Jiatao Gu, Xutai Ma, Arya D. McCarthy, Deepak Gopinath. [doi]
• Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian HieroglyphsPhilipp Wiesenbach, Stefan Riezler. [doi]
• Robust Neural Machine Translation for Clean and Noisy Speech TranscriptsMatti Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico. [doi]
• Transformer-based Cascaded Multimodal Speech TranslationZixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia. [doi]
• Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT qualityCarolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia. [doi]
• Efficient Bilingual Generalization from Neural Transduction Grammar InductionYuchen Yan, Dekai Wu, Serkan Kumyol. [doi]
• End-to-end Speech Translation System Description of LIT for IWSLT 2019Mei Tu, Wei Liu, Lijie Wang, Xiao Chen, Xue Wen. [doi]
• Controlling the Output Length of Neural Machine TranslationSurafel Melaku Lakew, Mattia Antonino Di Gangi, Marcello Federico. [doi]
• ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going DeeperHirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe 0001. [doi]
• ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared TaskHa Nguyen. [doi]
• Multitask Learning For Different Subword Segmentations In Neural Machine TranslationTejas Srinivasan, Ramon Sanabria, Florian Metze. [doi]
• Exploring Kernel Functions in the Softmax Layer for Contextual Word ClassificationYingbo Gao, Christian Herold, Weiyue Wang 0001, Hermann Ney. [doi]
• Data Augmentation for End-to-End Speech Translation: FBK@IWSLT '19Mattia Antonino Di Gangi, Matteo Negri, Viet-Nhat Nguyen, Amirhossein Tebbifakhr, Marco Turchi. [doi]
• Generic and Specialized Word Embeddings for Multi-Domain Machine TranslationMinh Quang Pham, Josep Maria Crego, François Yvon, Jean Senellart. [doi]
• Analysis of Positional Encodings for Neural Machine TranslationJan Rosendahl, Viet Anh Khoa Tran, Weiyue Wang 0001, Hermann Ney. [doi]
• Using Whole Document Context in Neural Machine TranslationValentin Macé, Christophe Servan. [doi]
• Adapting Multilingual Neural Machine Translation to Unseen LanguagesSurafel Melaku Lakew, Alina Karakanta, Marcello Federico, Matteo Negri, Marco Turchi. [doi]
• OPPO NMT System for IWSLT 2019Xiaopu Li, Zhengshan Xue, Jie Hao. [doi]
• How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation SystemsThi-Vinh Ngo, Thanh-Le Ha, Phuong Thai Nguyen, Le Minh Nguyen. [doi]
• Samsung's System for the IWSLT 2019 End-to-End Speech Translation TaskTomasz Potapczyk, Pawel Przybysz, Marcin Chochowski, Artur Szumaczuk. [doi]
• The LIG system for the English-Czech Text Translation Task of IWSLT 2019Loïc Vial, Benjamin Lecouteux, Didier Schwab, Hang Le, Laurent Besacier. [doi]
• Domain Adaptation of Document-Level NMT in IWSLT19Martin Popel, Christian Federmann. [doi]
• The IWSLT 2019 KIT Speech Translation SystemNgoc-Quan Pham, Thai Son Nguyen, Thanh-Le Ha, Juan Hussain, Felix Schneider, Jan Niehues, Sebastian Stüker, Alexander H. Waibel. [doi]
• The IWSLT 2019 Evaluation CampaignJan Niehues, Roldano Cattoni, Sebastian Stüker, Matteo Negri, Marco Turchi, Thanh-Le Ha, Elizabeth Salesky, Ramon Sanabria, Loïc Barrault, Lucia Specia, Marcello Federico. [doi]
• Lexical Micro-adaptation for Neural Machine TranslationJitao Xu 0001, Josep Maria Crego, Jean Senellart. [doi]
• Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability TrainingQiao Cheng 0004, Meiyuan Fang, Yaqian Han, Jin Huang, Yitao Duan. [doi]
• KIT's Submission to the IWSLT 2019 Shared Task on Text TranslationFelix Schneider, Alex Waibel. [doi]
• Samsung and University of Edinburgh's System for the IWSLT 2019Joanna Wetesko, Marcin Chochowski, Pawel Przybysz, Philip Williams, Roman Grundkiewicz, Rico Sennrich, Barry Haddow, Antonio Valerio Miceli Barone, Alexandra Birch. [doi]
• Controlling Utterance Length in NMT-based Word Segmentation with AttentionPierre Godard, Laurent Besacier, François Yvon. [doi]
• On Using SpecAugment for End-to-End Speech TranslationParnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney. [doi]
• Neural Baselines for Word AlignmentAnh Khoa Ngo Ho, François Yvon. [doi]
• Transformers without Tears: Improving the Normalization of Self-AttentionToan Q. Nguyen, Julian Salazar. [doi]