| Proceedings of Machine Translation Summit XVII |
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| Volume 2: Translator, Project and User Tracks |
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| Contents |
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| Competitiveness Analysis of the European Machine Translation Market 1 |
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| Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation | 8 |
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| Hungarian translators’ perceptions of Neural Machine Translation in the European Commission | 16 |
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| Applying Machine Translation to Psychology: Automatic Translation of Personality Adjectives | 23 |
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| Evaluating machine translation in a low-resource language combination: Spanish- Galician. | 30 |
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| MTPE in Patents: A Successful Business Story | 36 |
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| User expectations towards machine translation: A case study | 42 |
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| Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan | 49 |
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| Machine Translation in the Financial Services Industry: A Case Study | 57 |
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| Pre-editing Plus Neural Machine Translation for Subtitling: Effective Pre-editing Rules for Subtitling of TED Talks | 64 |
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| Do translator trainees trust machine translation? An experiment on post-editing and revision | 73 |
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| On reducing translation shifts in translations intended for MT evaluation | 80 |
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| Comparative Analysis of Errors in MT Output and Computer-assisted Translation: Effect of the Human Factor | 88 |
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| A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases | 95 |
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| Translating Terminologies: A Comparative Examination of NMT and PBSMT Systems | 101 |
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| NEC TM DATA PROJECT | 109 |
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| APE-QUEST | 110 |
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| PRINCIPLE: Providing Resources in Irish, Norwegian, Croatian and Icelandic for the Purposes of Language Engineering | 112 |
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| iADAATPA Project: Pangeanic use cases | 114 |
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| MICE | 116 |
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| ParaCrawl: Web-scale parallel corpora for the languages of the EU | 118 |
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| Pivot Machine Translation in INTERACT Project | 120 |
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| Global Under-Resourced Media Translation (GoURMET) | 122 |
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| Neural machine translation system for the Kazakh language | 123 |
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| Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models | 125 |
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| Bootstrapping a Natural Language Interface to a Cyber Security Event Collection System using a Hybrid Translation Approach | 134 |
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| Improving Robustness in Real-World Neural Machine Translation Engines | 142 |
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| Surveying the potential of using speech technologies for post-editing purposes in the context of international organizations: What do professional translators think? | 149 |
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| Automatic Translation for Software with Safe Velocity | 159 |
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| Application of Post-Edited Machine Translation in Fashion eCommerce | 167 |
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| Morphological Neural Pre- and Post-Processing for Slavic Languages | 174 |
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| Large-scale Machine Translation Evaluation of the iADAATPA Project | 179 |
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| Collecting domain specific data for MT: an evaluation of the ParaCrawl pipeline | 186 |
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| Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach 196 |
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| Improving Domain Adaptation for Machine Translation with Translation Pieces 204 |
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| Raising the TM Threshold in Neural MT Post-Editing: a Case Study on Two Datasets | 213 |
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| Incremental Adaptation of NMT for Professional Post-editors: A User Study | 219 |
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| When less is more in Neural Quality Estimation of Machine Translation. An industry case study | 228 |
