| Proceedings of Machine Translation Summit XVII |
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| Volume 1: Research Track |
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| Contents |
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| Online Sentence Segmentation for Simultaneous Interpretation using Multi-Shifted Recurrent Neural Network | 1 |
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| Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings | 12 |
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| Enhancing Transformer for End-to-end Speech-to-Text Translation | 21 |
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| Debiasing Word Embeddings Improves Multimodal Machine Translation | 32 |
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| Translator2Vec: Understanding and Representing Human Post-Editors | 43 |
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| Domain Adaptation for MT: A Study with Unknown and Out-of-Domain Tasks | 55 |
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| What is the impact of raw MT on Japanese users of Word: preliminary results of a usability study using eye-tracking | 67 |
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| MAGMATic: A Multi-domain Academic Gold Standard with Manual Annotation of Terminology for Machine Translation Evaluation | 78 |
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| Automatic error classi?cation with multiple error labels | 87 |
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| Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation | 96 |
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| An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures | 107 |
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| Improving Neural Machine Translation Using Noisy Parallel Data through Distillation | 118 |
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| Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation | 128 |
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| Improving Anaphora Resolution in Neural Machine Translation Using Curriculum Learning | 140 |
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| Improving American Sign Language Recognition with Synthetic Data | 151 |
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| Selecting Informative Context Sentence by Forced Back-Translation | 162 |
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| Memory-Augmented Neural Networks for Machine Translation | 172 |
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| An Exploration of Placeholding in Neural Machine Translation | 182 |
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| Controlling the Reading Level of Machine Translation Output | 193 |
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| A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation | 204 |
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| The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation | 214 |
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| Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation | 222 |
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| Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation | 233 |
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| Character-Aware Decoder for Translation into Morphologically Rich Languages | 244 |
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| Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing | 256 |
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| Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain | 267 |
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| Post-editese: an Exacerbated Translationese | 273 |
